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Michael Porter's 5 Forces model explained
 
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Voor Nederlandse versie klik hier: https://youtu.be/IROCHF-Ne_Y This webseminar explains the five forces model of Michael Porter. Also explained in this video how this model can be used in practice. If you have any suggestions for other models which you would like to have explained, please leave them in the comment section below. You might also like: 6 Steps of Marketing Planning: https://youtu.be/v99uQvI4AiM Michael Porter's Generic Strategies explained: https://youtu.be/Nz53CopmFig Treacy & Wiersema's Value strategies explained: https://youtu.be/NtuArGXUP9Y Ansoff's growth matrix explained: https://youtu.be/htp5YTvIymQ The Value Chain of Porter explained: https://youtu.be/aERoUQwvQyk The BCG Model explained: https://youtu.be/tKO5TpR2UwE 7S model of McKinsey: https://youtu.be/yGceFEDmtIM SWOT Analysis explained: https://youtu.be/bunYnEGaEvs Abell's Business Definition explained: https://youtu.be/pzKymyGLaBg MABA Portfolio analysis explained: https://youtu.be/dWWg2dPSfgI Please subscribe to my channel for future webinars and like this video if it is valuable for you!
Views: 351588 Pepijn Schoemaker
What is DATA MODELING? What does DATA MODELING mean? DATA MODELING meaning & explanation
 
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✪✪✪✪✪ GET FREE BITCOINS just for surfing the web as you usually do - https://bittubeapp.com/?ref?2JWO9YEAJ ✪✪✪✪✪ ✪✪✪✪✪ The Audiopedia Android application, INSTALL NOW - https://play.google.com/store/apps/details?id=com.wTheAudiopedia_8069473 ✪✪✪✪✪ What is DATA MODELING? What does DATA MODELING mean? DATA MODELING meaning - DATA MODELING definition - DATA MODELING explanation. Source: Wikipedia.org article, adapted under https://creativecommons.org/licenses/by-sa/3.0/ license. Data modeling in software engineering is the process of creating a data model for an information system by applying formal data modeling techniques. Data modeling is a process used to define and analyze data requirements needed to support the business processes within the scope of corresponding information systems in organizations. Therefore, the process of data modeling involves professional data modelers working closely with business stakeholders, as well as potential users of the information system. There are three different types of data models produced while progressing from requirements to the actual database to be used for the information system. The data requirements are initially recorded as a conceptual data model which is essentially a set of technology independent specifications about the data and is used to discuss initial requirements with the business stakeholders. The conceptual model is then translated into a logical data model, which documents structures of the data that can be implemented in databases. Implementation of one conceptual data model may require multiple logical data models. The last step in data modeling is transforming the logical data model to a physical data model that organizes the data into tables, and accounts for access, performance and storage details. Data modeling defines not just data elements, but also their structures and the relationships between them. Data modeling techniques and methodologies are used to model data in a standard, consistent, predictable manner in order to manage it as a resource. The use of data modeling standards is strongly recommended for all projects requiring a standard means of defining and analyzing data within an organization, e.g., using data modeling: - to assist business analysts, programmers, testers, manual writers, IT package selectors, engineers, managers, related organizations and clients to understand and use an agreed semi-formal model the concepts of the organization and how they relate to one another; - to manage data as a resource; - for the integration of information systems; - for designing databases/data warehouses (aka data repositories). Data modeling may be performed during various types of projects and in multiple phases of projects. Data models are progressive; there is no such thing as the final data model for a business or application. Instead a data model should be considered a living document that will change in response to a changing business. The data models should ideally be stored in a repository so that they can be retrieved, expanded, and edited over time. Whitten et al. (2004) determined two types of data modeling: - Strategic data modeling: This is part of the creation of an information systems strategy, which defines an overall vision and architecture for information systems is defined. Information engineering is a methodology that embraces this approach. - Data modeling during systems analysis: In systems analysis logical data models are created as part of the development of new databases. Data modeling is also used as a technique for detailing business requirements for specific databases. It is sometimes called database modeling because a data model is eventually implemented in a database.
Views: 15052 The Audiopedia
The Customer as The Unit of Analysis: Models, Metrics and a Multitude of Uses | Data Council NYC '18
 
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WANT TO EXPERIENCE A TALK LIKE THIS LIVE? Barcelona: https://www.datacouncil.ai/barcelona New York City: https://www.datacouncil.ai/new-york-city San Francisco: https://www.datacouncil.ai/san-francisco Singapore: https://www.datacouncil.ai/singapore ABOUT THE TALK: Businesses derive value from their customer base. This makes it critical to be able to forecast the value of a customer to the business. At the same time, modeling customer behavior is not a straightforward measurement -- the data generating process is subtle, data is characteristically sparse & stochastic, and heterogeneity abounds. We'll look at business analysis from a customer-centric mindset, where analysis of growth and retention is at the core. We'll dive into the model of Fader & Hardie, which provides a principled, probabilistic model to forecast customer lifetime value (CLV) from a stream of purchases. We'll motivate multilevel models and show how they can account for customer heterogeneity in purchase behavior. We'll analyze predictive fits using lifetimes, an open-source implementation of several useful Bayesian CLV models. We'll look across businesses and briefly cover insights that come from looking at large-scale datasets of customer purchase behavior. CLV estimates have a multitude of business uses, across: * forecasting of cashflow, profitability and demand * investment & valuation * customer base segmentation * allocation of marketing spend, or * monitoring the health of the business Data scientists and business analysts should leave this talk with another tool in their predictive modeling toolkit. More importantly, they should have clarity on how customer lifetime value is defined, how it can be reasoned about, and how forward-looking estimates can be fit from purchase data. ABOUT THE SPEAKER: Brian is Director of Data Science at Second Measure (YC S15), which analyzes billions of anonymized purchases to answer real-time questions about U.S. consumer behavior. Data scientists at Second Measure deal with large, messy, real-world data, make it clean and representative, compute novel metrics and drive key business decisions for clients. Prior to Second Measure, Brian worked in risk, forecasting and dynamic pricing for large-scale home purchase&resale at Opendoor. He's been in data-intensive fields for 10 years across quantitative finance, machine learning for home valuation models and large scale data pipelines. He's the office Bayesian, and cares a lot about data visualization and empowering good business decisions. FOLLOW DATA COUNCIL: Twitter: https://twitter.com/DataCouncilAI LinkedIn: https://www.linkedin.com/company/datacouncil-ai Facebook: https://www.facebook.com/datacouncilai
Views: 210 Data Council
Hidden Meanings Behind Childish Gambino's 'This Is America' Video Explained
 
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Childish Gambino's 'This Is America' has become an overnight cultural phenomenon. The internet was quick to point out tons of hidden messages throughout the piece. Here's some you've might have missed. Read more analysis on 'This Is America': http://www.thisisinsider.com/this-is-america-music-video-meaning-references-childish-gambino-donald-glover-2018-5 The INSIDER team believes that life is an adventure! Subscribe to our channel and visit us at: https://thisisinsider.com INSIDER on Facebook: https://www.facebook.com/thisisinsider/ INSIDER on Instagram: https://www.instagram.com/thisisinsider/ INSIDER on Twitter: https://twitter.com/thisisinsider INSIDER on Snapchat: https://insder.co/2KJLtVo Produced by: Alana Yzola
Views: 19239633 INSIDER
Analysis of Tesla's 2019 Shareholder Meeting
 
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Full recap of Tesla's 2019 shareholder meeting. Elon Musk updates us on demand, Model Y ramp, Cyberpunk Pickup truck and drops key hints about an upcoming battery investor day. Huge shoutout to all the Tesla fans/shareholders I met at the event! Let me know what you think in the comments below. Become a #HyperChanger & support us on Patreon to receive the exclusive weekly HyperChange Newsletter!! https://www.patreon.com/hyperchange LINK - Full video of Tesla Shareholder meeting: https://youtu.be/Va5i42D13cI HyperChange Twitter: https://twitter.com/HyperChangeTV HyperChange Instagram: http://instagram.com/Hyperchange HyperChange Facebook: https://www.facebook.com/HyperChange/ Music by Marko: https://soundcloud.com/markothedon & Fritz Carlton: https://soundcloud.com/fritzcarlton // Want more Tesla videos? Check out my friend's channels here: Like Tesla https://www.youtube.com/channel/UCLdTYHvdML-EXsPeiiYJLqA Now You Know https://www.youtube.com/channel/UCMFmrcGuFNu_59L0pHcR0OA Sean Mitchell https://www.youtube.com/user/seanmmitchell Teslanomics https://www.youtube.com/channel/UCbEbf0-PoSuHD0TgMbxomDg Disclaimer: This video is purely my opinion and should not be regarded as factual information. I am not a financial advisor. This is not a recommendation to buy or sell securities. Do not assume any facts and numbers in this video are accurate. Always do your own due diligence. As of 01/07/2019 HyperChange host (Galileo Russell) is invested in shares of Tesla (TSLA), Arcimoto (FUV) and long Maker & Bitcoin.
Views: 37518 HyperChange TV
Airbnb Business Model: What makes Airbnb so successful?
 
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What is the secret of Airbnb success? The answer is in their Business Model Innovation. How they generate trust by design and improve user experience for everyone, and what is their long-term business strategy. Get full course here 👉 https://goo.gl/sTSstm . And please, if you like the course, I would appreciate a good review, it is extremely helpful for me to continue providing this knowledge. Thanks a lot! Here's your link: https://goo.gl/sTSstm Joe Gebbia TED talk: https://www.youtube.com/watch?v=16cM-RFid9U #Airbnb #Business #Innovation
Views: 73894 Business Disruptors
The Five Competitive Forces That Shape Strategy
 
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An Interview with Michael E. Porter, Professor, Harvard University. Porter's five competitive forces is the basis for much of modern business strategy. Understand the framework and how to put it into practice.
Views: 1954959 Harvard Business Review
Netflix Business Model Strategy
 
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What is the secret of Netflix success? The answer is in their Business Model Innovation. How do they make money, which sales and delivery channels do they use and what is their long-term business strategy. Get full course here 👉 https://goo.gl/sTSstm . And please, if you like the course, leave a good review, it is EXTREMELY helpful for me to continue providing this knowledge. Thanks a lot! Here's your link 👉 https://goo.gl/sTSstm Do SUBSCRIBE to the channel! The next video is going to be about an extremely interesting company, hint: Po....ub ;) #Netflix #Business #Innovation
Views: 20227 Business Disruptors
The Economics of Uber
 
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First 500 people get 2 months free of Skillshare: http://skl.sh/polymatter7 Patreon: https://patreon.com/polymatter Twitter: https://twitter.com/polymatters Reddit: https://reddit.com/r/PolyMatter Discord: https://discord.gg/polymatter Uber may be the highest-valued private company in the world, but its economic troubles are profound and concerning. This includes a paid sponsored promotion which had no part in the writing, editing, or production of the rest of the video. Music by Varsity Star: https://varsitystar.bandcamp.com/releases their Facebook: https://www.facebook.com/varsitystarmusic/ Special thanks to http://ridester.com for looking over the script in advance. Ridester offers resources for ride share drivers. Brief music clip: Teddy Bear Waltz Kevin MacLeod (incompetech.com) Licensed under Creative Commons: By Attribution 3.0 License http://creativecommons.org/licenses/by/3.0/ VHS fast forward effect modified from https://www.youtube.com/watch?v=s_auAhu-91U https://www.forbes.com/sites/lensherman/2017/12/14/why-cant-uber-make-money/#7d83f5f410ec Dr Seuss Style Font: “Yikes” by Rick Montgomery https://www.dafont.com/yikes.font?l[]=10&l[]=1 http://flopstarter.com https://medium.com/enrique-dans/why-is-uber-sweeping-all-before-it-because-it-understands-economies-of-scale-70d104688783 https://www.irs.gov/businesses/small-businesses-self-employed/independent-contractor-self-employed-or-employee http://ritholtz.com/2018/05/tlc-medallion-owners-created-uber/ https://www.caseyresearch.com/forget-stocks-buy-taxi-medallions/ https://www.nytimes.com/2017/09/10/nyregion/new-york-taxi-medallions-uber.html http://www.nyc.gov/html/media/totweb/taxioftomorrow_history_regulationandprosperity.html https://www.nytimes.com/1996/05/11/nyregion/medallion-limits-stem-from-the-30-s.html https://www.theverge.com/2018/6/26/17500510/uber-london-license-appeal-court-decision?utm_campaign=theverge&utm_content=chorus&utm_medium=social&utm_source=twitter https://www.statista.com/statistics/277229/facebooks-annual-revenue-and-net-income/ https://www.washingtonpost.com/news/the-switch/wp/2016/06/27/how-much-uber-drivers-actually-make-per-hour/?utm_term=.cc5e13967aec https://www.cbinsights.com/research-unicorn-companies https://expandedramblings.com/index.php/uber-statistics/ https://medium.com/uber-under-the-hood/uber-in-small-towns-and-cities-a-data-deep-dive-6e3cc2a250f4 https://www.wsj.com/articles/how-self-driving-cars-could-end-uber-1494154805 https://www.wsj.com/articles/with-kalanick-out-ubers-troubles-are-just-beginning-1498049054 https://www.wsj.com/articles/with-kalanick-out-ubers-troubles-are-just-beginning-1498049054 https://www.statista.com/chart/12059/uber-revenue-bookings-and-net-loss/ https://www.theguardian.com/technology/2018/mar/01/uber-lyft-driver-wages-median-report https://www.ridesharingdriver.com/uber-fees-cancellation-booking-cleaning-fees/
Views: 1207547 PolyMatter
The Business Model Canvas - 9 Steps to Creating a Successful Business Model - Startup Tips
 
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The Business Model Canvas - 9 Steps to Creating a Successful Business Model - Startup Tips The Business Model Canvas, is a strategic management and entrepreneurial tool. It allows you to describe, design, challenge, invent, and pivot your business model. The Business Model Canvas is comprised of 9 key segments: The left hand section of the Business Model Canvas is the Infrastructure section and comprises three key areas: Key Activities: The most important activities in executing a company's value proposition. Key Resources: The resources that are necessary to create value for the customer. Partner Network: In order to optimize operations and reduce risks of a business model, organization usually cultivate buyer-supplier relationships so they can focus on their core activity. The middle section of the canvas describes the business offering and is the value proposition delivered to different customer segments. Value Propositions: The collection of products and services a business offers to meet the needs of its customers. According to Osterwalder, (2004), a company's value proposition is what distinguishes itself from its competitors. The value proposition provides value through various elements such as newness, performance, customization, "getting the job done", design, brand/status, price, cost reduction, risk reduction, accessibility, and convenience/usability. The value propositions may be: Quantitative – price and efficiency Qualitative – overall customer experience and outcome The right hand side of the Business Model Canvas describes the customers, the channels through which you deliver services and and the relationships you have with your customers. Customer Segments: To build an effective business model, a company must identify which customers it tries to serve. Various sets of customers can be segmented based on the different needs and attributes to ensure appropriate implementation of corporate strategy meets the characteristics of selected group of clients. Channels: A company can deliver its value proposition to its targeted customers through different channels. Effective channels will distribute a company’s value proposition in ways that are fast, efficient and cost effective. An organization can reach its clients either through its own channels (store front), partner channels (major distributors), or a combination of both. Customer Relationships: To ensure the survival and success of any businesses, companies must identify the type of relationship they want to create with their customer segments. The bottom section of the canvas describes the finances. Cost Structure: This describes the most important monetary consequences while operating under different business models. A company's DOC. Revenue Streams: The way a company makes income from each customer segment. https://www.youtube.com/channel/UCIypuA7lS-FsVG6cMlNCK2w?sub_confirmation=1 Check out some of our other videos Compensation claims - how long should it take https://youtu.be/NuxfrgSTg78 LLC vs S Corp https://youtu.be/4xNCnf9hitw Minizing tax https://youtu.be/ybSnFb6rx6Y How to fund a startup https://youtu.be/ctzDb59sw5M Kickstarter success Ep 1 https://youtu.be/2EG78JNZ7nA Kickstarter success Ep 2 https://youtu.be/ZMlq5CmUNz8 How to pitch to investors with Guy Kawasaki https://youtu.be/-epR-uGlv4M If you are interested in sustainability issues then check this video out The Sustainable Business Model Canvas https://youtu.be/gVimMEI2u2w
Views: 772140 The Business Channel
Student Video: Modeling & Energy Analysis of Liquid Crystals
 
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MIT RES.3-004 Visualizing Materials Science, Fall 2017 Speaker: Atif Javed View the complete course: https://ocw.mit.edu/RES-3-004F17 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP62EJXwSgoVRfh1tEiSc01bh Using a Mathematica model, this video describes properties of liquid crystals. License: Creative Commons BY-NC-SA More information at https://ocw.mit.edu/terms More courses at https://ocw.mit.edu
Views: 358 MIT OpenCourseWare
What is Agile?
 
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This short cartoon answers the question "What Is Agile?" and will give you the background to understand the Agile principles and values and how they can help you and your team work together more efficiently. If you'd like a free book on this topic, please see below... https://mailchi.mp/326ba47ba2e8/agile-list I've published a book called "Starting Agile" that is designed to help you start your team's Agile journey outright. You can buy a copy from Amazon, but I'm giving free copies away to my subscribers from YouTube. You can signup for a copy at the link above. You can subscribe to my channel with this link: https://www.youtube.com/markshead?sub_confirmation=1 If you'd like to connect with me on LinkedIn you can find me at the link below. Just send me a message saying hello and that you found me from one of my videos: https://www.linkedin.com/in/markshead
Views: 1264499 Mark Shead
The Grand Theory of Amazon
 
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Join Dollar Shave Club for only $5 http://www.dollarshaveclub.com/polymatter Thanks to sponsor Dollar Shave Club, new members get their 1st month of the Daily Essentials Starter Set including trial-sized versions of their Body Cleanser, One Wipe Charlies’ Butt Wipes, and Shave Butter along with their Executive Razor for only $5 with free shipping. Patreon: https://patreon.com/polymatter Twitter: https://twitter.com/polymatters Reddit: https://reddit.com/r/PolyMatter Discord: https://discord.gg/polymatter Amazon sells everything from streaming video to organic grapes, and it’s all part of a large (likely successful) strategy to dominate the entire consumer market. *The end of this video includes a paid sponsored promotion. This company had no part in the writing, editing, or production of the rest of the video. Credits Music is by Varsity Star: https://varsitystar.bandcamp.com/releases and the Varsity Star Facebook is https://www.facebook.com/varsitystarmusic/ The biggest source of inspiration for this video is the wonderful Ben Thompson's analysis of Amazon at https://stratechery.com - highly recommended. “wasted” GTA font used under a free license: https://www.dafont.com/pricedown.font SEC report from Amazon, including its competitors: https://www.sec.gov/Archives/edgar/data/1018724/000101872416000172/amzn-20151231x10k.htm https://www.usatoday.com/story/tech/news/2016/12/29/amazons-patent-flying-warehouse/95951942/ http://money.cnn.com/2017/02/28/technology/amazon-web-services-outages/index.html http://money.cnn.com/2017/08/23/technology/amazon-education-tenmarks-writing/index.html https://www.usatoday.com/story/tech/news/2017/02/28/amazons-cloud-service-goes-down-sites-scramble/98530914/ https://www.tomshardware.com/news/Amazon-Kindle-Cost-Production-Supplies-Parts,13953.html https://www.nytimes.com/2018/05/16/technology/moviepass-economy-startups.html http://www.businessinsider.com/amazon-prime-member-numbers-revealed-2018-4 https://www.cbinsights.com/research/report/amazon-strategy-teardown/ https://a16z.com/2014/09/05/why-amazon-has-no-profits-and-why-it-works/ https://techcrunch.com/2017/05/14/why-amazon-is-eating-the-world/ https://www.usatoday.com/story/tech/talkingtech/2017/03/01/amazon-control-internet-aws-cloud-services-outage/98548762/ https://www.forbes.com/sites/quora/2017/11/13/to-what-extent-are-amazon-and-google-competitors/#773520114267 https://searchengineland.com/survey-amazon-beats-google-starting-point-product-search-252980 https://www.economist.com/briefing/2017/03/25/are-investors-too-optimistic-about-amazon https://www.economist.com/leaders/2017/03/25/amazon-the-worlds-most-remarkable-firm-is-just-getting-started https://www.cnbc.com/2018/01/24/amazon-pharmacy-team-expanded-to-more-than-30-leerink.html https://stratechery.com/2018/amazons-go-and-the-future/ https://stratechery.com/2016/the-amazon-tax/ https://stratechery.com/2018/amazon-health/ https://stratechery.com/2014/losing-amazon-religion/ https://stratechery.com/2013/amazons-dominant-strategy/ https://www.entrepreneur.com/article/197608 https://www.nytimes.com/2018/05/16/technology/moviepass-economy-startups.html https://www.wsj.com/articles/amazons-newest-ambitioncompeting-directly-with-ups-and-fedex-1474994758 https://www.investopedia.com/articles/investing/031116/making-sense-amazons-move-logistics-amzn.asp https://www.investopedia.com/articles/investing/020515/why-amazon-needs-dump-ups-and-fedex-amzn-fdx-ups.asp https://www.amazon.com/gp/product/B00LT3L7AO/ref=as_li_tl?ie=UTF8&camp=1789&creative=390957&creativeASIN=B00LT3L7AO&linkCode=as2&tag=sgtsnu-20&linkId=YN4RE2ODX35ZZBNQ http://markets.businessinsider.com/news/stocks/amazon-stock-price-here-are-the-4-industries-wall-street-thinks-amazon-will-destroy-the-fastest-2017-9-1002426699 https://venturebeat.com/2017/07/17/amazon-tanks-blue-aprons-stock-with-one-trademark-filing/ https://www.greenwichtime.com/technology/businessinsider/article/Blue-Apron-got-Amazoned-before-it-even-became-a-11255872.php https://www.investopedia.com/news/amazon-launches-amazon-cash-amzn-wmt/ https://www.fastcompany.com/3038252/the-economist-trades-in-henry-kissinger-for-googles-eric-schmidt https://www.investopedia.com/articles/company-insights/092016/7-worst-products-amazon-ever-had-amzn.asp http://www.bloomberg.com/news/2013-10-24/amazon-revenue-tops-estimates-before-holiday-quarter.html https://www.nytimes.com/2017/10/20/opinion/how-amazon-took-seattles-soul.html https://thenextweb.com/mobile/2011/09/28/amazons-bezos-we-worked-hard-to-charge-you-less-for-kindle-fire/ https://www.wsj.com/articles/amazon-welcomes-teens-with-new-parent-controlled-shopping-allowance-1507726803 https://www.bloomberg.com/news/articles/2018-05-10/amazon-is-said-to-halt-google-shopping-ads-as-rivalry-heats-up https://stratechery.com/2018/divine-discontent-disruptions-antidote/ http://fortune.com/longform/amazon-groceries-fortune-500/
Views: 1549489 PolyMatter
What is SWISS CHEESE MODEL? What does SWISS CHEESE MODEL mean? SWISS CHEESE MODEL meaning
 
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✪✪✪✪✪ GET FREE BITCOINS just for surfing the web as you usually do - https://bittubeapp.com/?ref?2JWO9YEAJ ✪✪✪✪✪ ✪✪✪✪✪ The Audiopedia Android application, INSTALL NOW - https://play.google.com/store/apps/details?id=com.wTheAudiopedia_8069473 ✪✪✪✪✪ What is SWISS CHEESE MODEL? What does SWISS CHEESE MODEL mean? SWISS CHEESE MODEL meaning - SWISS CHEESE MODEL definition - SWISS CHEESE MODEL explanation. Source: Wikipedia.org article, adapted under https://creativecommons.org/licenses/by-sa/3.0/ license. SUBSCRIBE to our Google Earth flights channel - https://www.youtube.com/channel/UC6UuCPh7GrXznZi0Hz2YQnQ The Swiss Cheese model of accident causation is a model used in risk analysis and risk management, including aviation safety, engineering, healthcare, emergency service organizations, and as the principle behind layered security, as used in computer security and defense in depth. It likens human systems to multiple slices of swiss cheese, stacked side by side, in which the risk of a threat becoming a reality is mitigated by the differing layers and types of defenses which are "layered" behind each other. Therefore, in theory, lapses and weaknesses in one defense do not allow a risk to materialize, since other defenses also exist, to prevent a single point of weakness. The model was originally formally propounded by Dante Orlandella and James T. Reason of the University of Manchester, and has since gained widespread acceptance. It is sometimes called the cumulative act effect. Although the Swiss cheese model is respected and considered to be a useful method of relating concepts, it has been subject to criticism that it is used over broadly, and without enough other models or support. Reason hypothesized that most accidents can be traced to one or more of four failure domains: organizational influences, supervision, preconditions, and specific acts. For example, in aviation, preconditions for unsafe acts include fatigued air crew or improper communications practices. Unsafe supervision encompasses for example, pairing inexperienced pilots on a night flight into known adverse weather. Organizational influences encompass such things as reduction in expenditure on pilot training in times of financial austerity. In the Swiss Cheese model, an organisation's defenses against failure are modeled as a series of barriers, represented as slices of cheese. The holes in the slices represent weaknesses in individual parts of the system and are continually varying in size and position across the slices. The system produces failures when a hole in each slice momentarily aligns, permitting (in Reason's words) "a trajectory of accident opportunity", so that a hazard passes through holes in all of the slices, leading to a failure. Frosch described Reason's model in mathematical terms as a model in percolation theory, which he analyses as a Bethe lattice. The Swiss Cheese model includes both active and latent failures. Active failures encompass the unsafe acts that can be directly linked to an accident, such as (in the case of aircraft accidents) pilot error. Latent failures include contributory factors that may lie dormant for days, weeks, or months until they contribute to the accident. Latent failures span the first three domains of failure in Reason's model. The same framework applies in healthcare. For example, a latent failure could be the similar packaging of two drugs that are then stored close to each other in a pharmacy. Such a failure would be a contributory factor in the administration of the wrong drug to a patient. Such research led to the realization that medical error can be the result of "system flaws, not character flaws", and that greed, ignorance, malice or laziness are not the only causes of error. Lubnau, Lubnau, and Okray apply the model to the engineering of firefighting systems, aiming to reduce human errors by "inserting additional layers of cheese into the system", namely the techniques of Crew Resource Management. This is one of the many models listed, with references, in. Kamoun and Nichofound the Swiss Cheese Model to be a useful theoretical model to explain the multifaceted (human, organizational and technological) aspects of healthcare data breaches.
Views: 14376 The Audiopedia
Billie Eilish "idontwannabeyouanymore" Official Lyrics & Meaning | Verified
 
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California singer-songwriter Billie Eilish released her debut EP ‘dont smile at me’ in 2017 after going viral with “ocean eyes” a year prior. One of the singles from the release, “idontwannabeyouanymore,” finds the teenage singer addressing her insecurities. Produced by her older brother FINNEAS, the track has been streamed over 26 million times on Spotify and its music video has over 4 million YouTube views. Read more on Genius: https://genius.com/a/billie-eilish-breaks-down-idontwannabeyouanymore-on-genius-series-verified Read all the lyrics to Billie Eilish’s “idontwannabeyouanymore” on Genius: https://genius.com/Billie-eilish-idontwannabeyouanymore-lyrics Subscribe to Genius: http://bit.ly/2cNV6nz Genius on Twitter: https://twitter.com/Genius Genius on Instagram: http://instagram.com/genius Genius on Facebook: https://facebook.com/Geniusdotcom http://genius.com #BillieEillish #idontwannabeyouanymore #Verified
Views: 11215086 Genius
What is CRITICAL DISCOURSE ANALYSIS? What does CRITICAL DISCOURSE ANALYSIS mean?
 
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✪✪✪✪✪ GET FREE BITCOINS just for surfing the web as you usually do - https://bittubeapp.com/?ref?2JWO9YEAJ ✪✪✪✪✪ ✪✪✪✪✪ The Audiopedia Android application, INSTALL NOW - https://play.google.com/store/apps/details?id=com.wTheAudiopedia_8069473 ✪✪✪✪✪ What is CRITICAL DISCOURSE ANALYSIS? What does CRITICAL DISCOURSE ANALYSIS mean? CRITICAL DISCOURSE ANALYSIS meaning - CRITICAL DISCOURSE ANALYSIS definition - CRITICAL DISCOURSE ANALYSIS explanation. Source: Wikipedia.org article, adapted under https://creativecommons.org/licenses/by-sa/3.0/ license. SUBSCRIBE to our Google Earth flights channel - https://www.youtube.com/channel/UC6UuCPh7GrXznZi0Hz2YQnQ Critical discourse analysis (CDA) is an interdisciplinary approach to the study of discourse that views language as a form of social practice. Scholars working in the tradition of CDA generally argue that (non-linguistic) social practice and linguistic practice constitute one another and focus on investigating how societal power relations are established and reinforced through language use. Critical discourse analysis emerged from 'critical linguistics' developed at the University of East Anglia in the 1970s, and the terms are now often interchangeable. Sociolinguistics was paying little attention to social hierarchy and power. CDA was first developed by the Lancaster school of linguists of which Norman Fairclough was the most prominent figure. Ruth Wodak has also made a major contribution to this field of study. In addition to linguistic theory, the approach draws from social theory—and contributions from Karl Marx, Antonio Gramsci, Louis Althusser, Jürgen Habermas, Michel Foucault and Pierre Bourdieu—in order to examine ideologies and power relations involved in discourse. Language connects with the social through being the primary domain of ideology, and through being both a site of, and a stake in, struggles for power. Ideology has been called the basis of the social representations of groups, and, in psychological versions of CDA developed by Teun A. van Dijk and Ruth Wodak, there is assumed to be a sociocognitive interface between social structures and discourse structures. The historical dimension in critical discourse studies also plays an important role. Although CDA is sometimes mistaken to represent a 'method' of discourse analysis, it is generally agreed upon that any explicit method in discourse studies, the humanities and social sciences may be used in CDA research, as long as it is able to adequately and relevantly produce insights into the way discourse reproduces (or resists) social and political inequality, power abuse or domination. That is, CDA does not limit its analysis to specific structures of text or talk, but systematically relates these to structures of the sociopolitical context. CDA has been used to examine political speech acts, to highlight the rhetoric behind these, and any forms of speech that may be used to manipulate the impression given to the audience. However, there have been flaws noted with CDA. For example, it has been said that it is simultaneously too broad to distinctly identify manipulations within the rhetoric, yet is also not powerful enough to appropriately find all that researchers set out to establish. Norman Fairclough developed a three-dimensional framework for studying discourse, where the aim is to map three separate forms of analysis onto one another: analysis of (spoken or written) language texts, analysis of discourse practice (processes of text production, distribution and consumption) and analysis of discursive events as instances of sociocultural practice. Particularly, he combines micro, meso and macro-level interpretation. At the micro-level, the analyst considers various aspects of textual/linguistic analysis, for examples syntactic analysis, use of metaphor and rhetorical devices. The meso-level or "level of discursive practice" involves studying issues of production and consumption, for instance, which institution produced a text, who is the target audience, etc. At the macro-level, the analyst is concerned with intertextual and interdiscursive elements and tries to take into account the broad, societal currents that are affecting the text being studied.
Views: 23438 The Audiopedia
6. Monte Carlo Simulation
 
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MIT 6.0002 Introduction to Computational Thinking and Data Science, Fall 2016 View the complete course: http://ocw.mit.edu/6-0002F16 Instructor: John Guttag Prof. Guttag discusses the Monte Carlo simulation, Roulette License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
Views: 464569 MIT OpenCourseWare
Are the castles/cities in Lord of the Rings realistic?
 
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The Lord of the Rings movie trilogy is one of the more visually realistic medieval fantasy films, but just how realistic are the cities and castle like structures? Patreon: https://www.patreon.com/shadiversity
Views: 1221733 Shadiversity
Demand and Supply Explained- Econ 2.1
 
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Thanks for watching. In this video I explain the law of demand, the substitution effect, the income effect, the law of diminishing marginal utility, and the shifters of demand. Make sure that you understand the difference between a change in quantity demanded and a change in demand. This is the first video in the unit Playlist. Make sure that you watch the the next two videos about supply and equilibrium so you can put it all together. I hope that you like this video. Please like, leave a comment, and subscribe. *Note* never drink a whole gallon of milk Get the Ultimate Review Packet- http://www.acdcecon.com/#!review-packet/czji Supply Video https://www.youtube.com/watch?v=ewPNugIqCUM Video Explaining Shifting the Curves https://www.youtube.com/watch?v=V0tIOqU7m-c Unit playlists https://www.youtube.com/watch?v=HQkVO2PsxFw Learn it by watching Indiana Jones https://www.youtube.com/watch?v=RP0j3Lnlazs
Views: 1877301 Jacob Clifford
The GAP model
 
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Kjetil Knarlag, project manager at Universell, talks about the GAP model. This is a part of the Erasmus+ project "UDLL" (Universal Design - License to Learn). For more information on the project, please visit http://www.udll.eu.
Views: 832 Universell
Market Segmentation Analysis | UQx on edX
 
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Take this course for free on edx.org. About this course: Conducting market segmentation analysis and committing to a long-term market segmentation strategy is a complex and challenging journey for any organisation. This course will guide you through the entire process of market segmentation analysis and offers a ten-step process that makes customer segmentation efficient and organised. We will start from the very beginning when the decision is first made to conduct market segmentation analysis, to the final stages of evaluating the success of the strategy and monitoring the market for possible changes highlighting segmentation variables such as geographic segmentation, psychographic segmentation, behavioural segmentation and demographic segmentation. We will explore how to leverage statistical concepts such as the hierarchical clustering and partitioning methods, exploratory data analysis, biclustering, mixture models and regression models into the organisation’s segmentation strategy. The skills and ideas you will gain in this course are relevant to a number of contexts of segmentation marketing - for a business aiming for profit maximisation, to a not-for-profit organisation looking to achieve its mission. This course will also allow you to conduct customer segmentation analysis. You will be able to replicate the calculations and visualisations demonstrated in the customer segmentation models by downloading the data and the R code (a free open-source statistical computing environment and widely acknowledged as the universal language of computational statistics). This course is based on and taught by the authors of the book “Market Segmentation Analysis; Understanding It, Doing It, and Making it Useful”. You will have full access to this valuable resource when you enrol in this course.
Views: 1512 edX
Predicting Stock Prices - Learn Python for Data Science #4
 
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In this video, we build an Apple Stock Prediction script in 40 lines of Python using the scikit-learn library and plot the graph using the matplotlib library. The challenge for this video is here: https://github.com/llSourcell/predicting_stock_prices Victor's winning recommender code: https://github.com/ciurana2016/recommender_system_py Kevin's runner-up code: https://github.com/Krewn/learner/blob/master/FieldPredictor.py#L62 I created a Slack channel for us, sign up here: https://wizards.herokuapp.com/ Stock prediction with Tensorflow: https://nicholastsmith.wordpress.com/2016/04/20/stock-market-prediction-using-multi-layer-perceptrons-with-tensorflow/ Another great stock prediction tutorial: http://eugenezhulenev.com/blog/2014/11/14/stock-price-prediction-with-big-data-and-machine-learning/ This guy made 500K doing ML stuff with stocks: http://jspauld.com/post/35126549635/how-i-made-500k-with-machine-learning-and-hft Please share this video, like, comment and subscribe! That's what keeps me going. and please support me on Patreon!: https://www.patreon.com/user?u=3191693 Check out this youtube channel for some more cool Python tutorials: https://www.youtube.com/watch?v=RZF17FfRIIo Follow me: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology Instagram: https://www.instagram.com/sirajraval/ Instagram: https://www.instagram.com/sirajraval/ Signup for my newsletter for exciting updates in the field of AI: https://goo.gl/FZzJ5w Hit the Join button above to sign up to become a member of my channel for access to exclusive content!
Views: 601622 Siraj Raval
TRUE Cost of a Tesla Model 3 (After 10,000 Miles)
 
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After 10,000 miles here's how much it has cost me to own & drive a Tesla Model 3 Ordering a Tesla Model 3? Get FREE Supercharging ➡️http://geni.us/t3sla Best Model 3 accessories on Amazon: http://geni.us/tV1EvF Full Model 3 Review: https://youtu.be/47OFb8786ko Subscribe! http://goo.gl/RqU0nl These numbers are all based off my personal experience so it's not going to be the same for everyone but at least it will give you an idea of the costs and how much a difference it is driving a #Tesla compared to an internal combustion engine vehicle. I’m going to compare my #Model3 acquisition to what it would be like if I kept driving my 2007 Pontiac G6. The total cost of my Long Range #TeslaModel3 was $56,000. I also had to pay $3,422 for taxes. I am getting the full $7,500 tax credit but my car insurance increased by $500/year so assuming I keep my Model 3 for at least 5 years that brings it to $54,422. However we also have to calculate the cost of installing a home charging outlet. This cost heavily depends on your particular location and how difficult the install is. My NEMA 14-50 outlet cost $900 for a professional electrician to install, which is on the expensive side because my box was the furthest possible distance from my garage so they had to run cable underground which increased the price. That brings it to a grand total of $55,322 upfront cost for my First Production Long Range Tesla Model 3, assuming I keep it for at least 5 years. How much does it cost to charge & drive a Model 3 compared to buying gas? My Model 3 is at 10,400 lifetime miles and it’s averaging 233 Wh/mile. So far I’ve only spent $20.29 on four Supercharging sessions, and that resulted in approximately 700 miles of range which means the other 9,700 miles traveled were from charging at home in my garage. To find out how much it’s cost to travel those 9700 miles we need to calculate my electricity rate along with the Model 3’s charging efficiency. My off-peak electricity rate when I charge my car at home is $0.06882 per kWh. However, 100% of the electricity doesn’t make it into the car’s battery when charging at home. This is true for all electric cars. Edmund’s is doing a long-term test drive of the Model 3 and they're measuring the average wall-to-wheels efficiency. So far from their tests they’ve seen an 83.3% charging efficiency (meaning only about 83% of the electricity makes it from the charging cable into the car battery). And if we also account for the amount of battery that depletes as the Model 3 is just sitting somewhere not plugged in (I’ll make a guesstimate and say 3% is a fair assumption for vampire drain), that brings us to 80% total charging efficiency. So 9,700 miles at an average of 233 Wh/mile with an electricity rate of $0.06882 per kWh with an 80% charging efficiency equals $186.65. And if we add the $20.29 I’ve spent on Supercharging that comes to a grand total of $206.94 spent to travel 10,400 miles in my Model 3. If you compare that to my 6-cylinder automatic transmission 2007 Pontiac G6 which averages 21 miles per gallon and using the current average cost of gas in my area which is $2.77 per gallon, the total cost to travel 10,400 miles would be $1,371.81. That means I’ve saved almost $1,200 over 10,400 miles or maybe it’s better to say that’s $1,200 I’ve stopped having to give to gas stations since getting my Model 3. And I’m not driving a car that puts out any emissions which feels great. Also keep in mind there are free apps like PlugShare and ChargePoint that show you locations of thousands of public charging stations, most of which are completely free for anyone to charge their electric car which is something that just doesn’t exist with gas stations. Also I’ve saved so much time from not having to stop at gas stations during my normal weekly driving. It takes me 5 seconds to plug in my Model 3 in my garage. When I drove a gas car I had to get gas at least once or twice per week, and each stop took around 5 minutes. So over the course of a year that’s a huge amount of time saved from not having to stop at gas stations. We could also get into the money saved from oil changes and maintenance but that's another story. So far I’ve paid absolutely $0 in maintenance for my Model 3 so hopefully that continues. It’s been a fantastic car after 10,000 miles and it’s still just as much fun as the day I got it. I hope you enjoyed this detailed look into how much owning and driving a Tesla Model 3 actually costs. Twitter http://Twitter.com/slye Facebook http://Facebook.com/MyTechMethods Instagram http://instagram.com/slye Website http://MyTechMethods.com Share this video! https://youtu.be/x0MjZOR89Fk Thanks for watching: 10,000 Miles in a Model 3: The TRUE Cost of Driving a Tesla
Views: 1408005 Andy Slye
Calculating Numbers on a Rental Property [Using The Four Square Method!]
 
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Learn how to analyze a rental property with the unique "four square" method and make sure your next rental property investment is a cash cow! In this video from BiggerPockets.com, Brandon Turner (author of The Book on Rental Property Investing and co-host of the BiggerPockets Podcast) shares with you the step by step method for determining the monthly cash flow and cash on cash return for any rental property investment. Calculating the numbers on a rental property doesn't need to be difficult - and this video proves it.
Views: 1371782 BiggerPockets
Qualitative analysis of interview data: A step-by-step guide
 
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The content applies to qualitative data analysis in general. Do not forget to share this Youtube link with your friends. The steps are also described in writing below (Click Show more): STEP 1, reading the transcripts 1.1. Browse through all transcripts, as a whole. 1.2. Make notes about your impressions. 1.3. Read the transcripts again, one by one. 1.4. Read very carefully, line by line. STEP 2, labeling relevant pieces 2.1. Label relevant words, phrases, sentences, or sections. 2.2. Labels can be about actions, activities, concepts, differences, opinions, processes, or whatever you think is relevant. 2.3. You might decide that something is relevant to code because: *it is repeated in several places; *the interviewee explicitly states that it is important; *you have read about something similar in reports, e.g. scientific articles; *it reminds you of a theory or a concept; *or for some other reason that you think is relevant. You can use preconceived theories and concepts, be open-minded, aim for a description of things that are superficial, or aim for a conceptualization of underlying patterns. It is all up to you. It is your study and your choice of methodology. You are the interpreter and these phenomena are highlighted because you consider them important. Just make sure that you tell your reader about your methodology, under the heading Method. Be unbiased, stay close to the data, i.e. the transcripts, and do not hesitate to code plenty of phenomena. You can have lots of codes, even hundreds. STEP 3, decide which codes are the most important, and create categories by bringing several codes together 3.1. Go through all the codes created in the previous step. Read them, with a pen in your hand. 3.2. You can create new codes by combining two or more codes. 3.3. You do not have to use all the codes that you created in the previous step. 3.4. In fact, many of these initial codes can now be dropped. 3.5. Keep the codes that you think are important and group them together in the way you want. 3.6. Create categories. (You can call them themes if you want.) 3.7. The categories do not have to be of the same type. They can be about objects, processes, differences, or whatever. 3.8. Be unbiased, creative and open-minded. 3.9. Your work now, compared to the previous steps, is on a more general, abstract level. You are conceptualizing your data. STEP 4, label categories and decide which are the most relevant and how they are connected to each other 4.1. Label the categories. Here are some examples: Adaptation (Category) Updating rulebook (sub-category) Changing schedule (sub-category) New routines (sub-category) Seeking information (Category) Talking to colleagues (sub-category) Reading journals (sub-category) Attending meetings (sub-category) Problem solving (Category) Locate and fix problems fast (sub-category) Quick alarm systems (sub-category) 4.2. Describe the connections between them. 4.3. The categories and the connections are the main result of your study. It is new knowledge about the world, from the perspective of the participants in your study. STEP 5, some options 5.1. Decide if there is a hierarchy among the categories. 5.2. Decide if one category is more important than the other. 5.3. Draw a figure to summarize your results. STEP 6, write up your results 6.1. Under the heading Results, describe the categories and how they are connected. Use a neutral voice, and do not interpret your results. 6.2. Under the heading Discussion, write out your interpretations and discuss your results. Interpret the results in light of, for example: *results from similar, previous studies published in relevant scientific journals; *theories or concepts from your field; *other relevant aspects. STEP 7 Ending remark Nb: it is also OK not to divide the data into segments. Narrative analysis of interview transcripts, for example, does not rely on the fragmentation of the interview data. (Narrative analysis is not discussed in this tutorial.) Further, I have assumed that your task is to make sense of a lot of unstructured data, i.e. that you have qualitative data in the form of interview transcripts. However, remember that most of the things I have said in this tutorial are basic, and also apply to qualitative analysis in general. You can use the steps described in this tutorial to analyze: *notes from participatory observations; *documents; *web pages; *or other types of qualitative data. STEP 8 Suggested reading Alan Bryman's book: 'Social Research Methods' published by Oxford University Press. Steinar Kvale's and Svend Brinkmann's book 'InterViews: Learning the Craft of Qualitative Research Interviewing' published by SAGE. Text and video (including audio) © Kent Löfgren, Sweden
Views: 780324 Kent Löfgren
AnyBody Example: Full Body Bicycling Model
 
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Sports is all about maximizing the performance of the human body. The AnyBody Modeling System can provide a new understanding of the body's working conditions and the bottlenecks for improved performance. Furthermore, when those bottlenecks have been identified, the AnyBody Modeling System can help device exercises targeted at strengthening those precise points of the body. In terms of the actual sports performance, the technology is mostly useful for repetitive and controlled movements, such as bicycling and rowing. However, for design of exercise programs and for rehabilitation after injury, the system is universally applicable for any physical sports performance. Bicycling Bicycling is a fascinating sport in which small advantages between riders make the entire difference. Fine adjustments of the bicycles or exercise strategies can mean the difference between victory and defeat. With the complexity of the mechanics of the human body, the road to improved performance remains any man's guess. On the other hand, bicycling is one of the cases that are very well-suited for analysis by the AnyBody Modeling System. It is a highly repetitive task, and it is a good assumption that the rider is capable of recruiting muscles optimally for the task. Furthermore, AnyBody bicycle models have shown good agreement with experimental results in terms of muscle recruitment as well and predicted pedal forces. So with the type of rigorous mechanical model provided by the AnyBody Modeling System, quantitative answers can be provided about the consequence of design changes. Pedaling Model: For bicycle modeling for a particular rider it is advisable to combine the investigations with experimental activities to make sure that the correspondence between the model and the the rider is maintained when the parameters of the model are changed. The model can then be used to predict the parameter changes that can improve performance. For more info, visit: 1. AnyBody Technology Website: http://www.anybodytech.com 2. AnyBody Research Project: http://anybody.auc.dk/
Views: 53737 AnyBody Technology
Choosing which statistical test to use - statistics help.
 
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Seven different statistical tests and a process by which you can decide which to use. The tests are: Test for a mean, test for a proportion, difference of proportions, difference of two means - independent samples, difference of two means - paired, chi-squared test for independence and regression. This video draws together videos about Helen, her brother, Luke and the choconutties. There is a sequel to give more practice choosing and illustrations of the different types of test with hypotheses.
Views: 799632 Dr Nic's Maths and Stats
Social Data Processing using Exchangeable Models
 
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Social Data Processing using Exchangeable Models: Recommendation Systems, Crowd-sourcing, and Graphon Estimation Much of modern data is generated by humans and drives decisions made in a variety of settings, such as recommendations for online markets, analysis of social networks, or denoising crowdsourced labels. Due to the complexities of human behavior, the precise data model is often unknown, creating a need for for flexible models with minimal assumptions. A minimal property that is natural for many datasets is ""exchangeability"", i.e. invariant under relabeling of the dataset, which naturally leads to a nonparametric latent variable model. The corresponding inference problem can be formulated as matrix or graphon estimation. We propose similarity-based inference algorithms for such nonparametric latent variable models, and we provide theoretical guarantees that bound the error. Our method can be computed in a distributed manner, lending to good scalability properties. As a byproduct, our analysis explains a longstanding mystery of why the collaborative filtering heuristic performs well in practice. While classical collaborative filtering typically requires a dense dataset, we propose a new method which compares larger radius neighborhoods of data to compute similarities, and show that the estimate converges even for very sparse datasets, which has implications towards sparse graphon estimation. For denoising crowd-sourced labels, our algorithm provides guarantees under flexible models allowing for heteregeneity of task and worker types. See more on this video at https://www.microsoft.com/en-us/research/video/social-data-processing-using-exchangeable-models-recommendation-systems-crowd-sourcing-graphon-estimation/
Views: 483 Microsoft Research
TESLA Model 3 TRUE Cost of Ownership Compared with a Honda Civic & BMW 3 Series
 
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Thinking Tesla? Use our Link: http://geni.us/TwoBitTesla The Tesla Model 3 is upon us, and it’s already being heralded by many as the most important car in decades. Cost Calculator: http://geni.us/Model3CostCalc But whether you’re one of the nearly half a million people who have already given Tesla a $1000 deposit, or someone who is wondering if it just makes financial sense, this video is for you. At $35,000 dollars, the Model 3 is the most affordable Tesla to date. And with its 220 mile range, 126 MPGe, and 0-60 time of 5.5 seconds, it’s proving to be quite the little EV that could. Very enticing indeed. But the primary question remains: What is the TRUE Cost of Owning a Tesla Model Three? While the question is simple, the answer is not. The devil is always in the details, and so we will take a look at a couple of other popular gas powered cars for comparison, and look at Total Cost of Ownership over 5 years. We will also explain the ugly truth about MPGe, and tell you what we think is a better measurement. And if you’re counting on the $7,500 Federal Tax Credit, we’ll talk about why you may not even qualify for it. Lastly, we will provide you with some cost calculators to help you reach an educated conclusion, based on your specific situation, because where you live & how you drive, really does affect your bottom line. ***** Support us on Patreon: https://www.patreon.com/twobitdavinci We Love VideoBlocks. Sign up for a free trial: https://videoblocks.go2cloud.org/SHBt ***** Other Calculators to Help You (suggest your favorite in the comments) https://www.befrugal.com/tools/electric-car-calculator/ https://www.edmunds.com/tco.html https://www.afdc.energy.gov/widgets/ Elon Musk Book on Tesla & Space X: http://geni.us/ElonMuskBook02 Tesla Coffee Cup: http://geni.us/TeslaCoffeeCup02 Visit our Site: http://www.twobitdavinci.com Socials: @TwoBitDaVinci You can Help Support Two Bit da Vinci by following our affiliate links. It's free, and we get a commission to help us keep doing what we love. Two Bit da Vinci is a participant in the Amazon Services LLC Associates Program, an affiliate advertising program designed to provide a means for sites to earn advertising fees by advertising and linking to amazon.com. Thank You, Chris & Ricky ***** tesla model 3 true cost of ownership tesla model 3 cost to own tesla model 3 cost Tesla Model 3 Cost of Ownership model 3 tco model 3 ownership cost How Much Does a Tesla Model 3 Cost model 3 cost Tesla Model 3 Operating Cost What is The Cost of a Tesla Model 3 model three cost tesla model 3 cost calculator model three price tesla model 3 cost estimator model 3 price tesla 3 tesla model 3 tesla tax credit model 3 maintenance ev tax credit model 3 tesla tesla model 3 pre orders best electric vehicle 2017 tesla model3 tesla mpg tesla model 3 price tesla model three tesla model 3 review best ev 2018 model 3 mpg elon musk model three model 3 owners club tesla model 3 mpg model 3 production electric vehicles model 3 tesla model 3 review tesla model 3 delivery tesla model 3 calculator tesla model 3 cost calculator tesla calculator tesla cost calculator
Views: 1752677 Two Bit da Vinci
Introduction to Decision Making Using Excel - What IF Analysis
 
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To learn more, go to: https://learning.ly/products/introduction-to-decision-making-using-excel-what-if-analysis This “Introduction to Decision Making Using Excel - What IF Analysis” , is a free part and preview (25 minutes) of the full course “Introduction to Modeling in Excel for Decision Makers” (195 minutes.) The purpose of this short course is to enhance your Excel decision making skills. It is an introduction to the “What IF Analysis” using conventional and unconventional tools. The concepts will be applied to a single financial function of a loan model. THE COURSE SYLLABUS Introduction Goal Seek – 8 minutes Sensitivity Analysis – 7 minutes Using Scroll Bars for Sensitivity Analysis – 9 minutes Explains how Goal Seek can be used for decision analysis and modeling Naming Cells Makes Modeling Meaningful Financial Functions Goal Seek Demonstrate how to use the Excel Data Table for the impact of incremental changes in the input One-way Data Table Two-Way Data Table Examine how to use the Forms Scroll Bars to explore potential changes in input Activating the Developer Ribbon Using Scroll Bars for Sensitivity Analysis The Limitations of the Scroll Bar Each session will include two Excel workbooks, one for you to practice the session and a post session solved workbook.
Views: 195 Learningly TV
What is REGRESSION ANALYSIS? What does REGRESSION ANALYSIS mean? REGRESSION ANALYSIS meaning
 
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✪✪✪✪✪ GET FREE BITCOINS just for surfing the web as you usually do - https://bittubeapp.com/?ref?2JWO9YEAJ ✪✪✪✪✪ ✪✪✪✪✪ The Audiopedia Android application, INSTALL NOW - https://play.google.com/store/apps/details?id=com.wTheAudiopedia_8069473 ✪✪✪✪✪ What is REGRESSION ANALYSIS? What does REGRESSION ANALYSIS mean? REGRESSION ANALYSIS meaning. Source: Wikipedia.org article, adapted under https://creativecommons.org/licenses/by-sa/3.0/ license. In statistical modeling, regression analysis is a statistical process for estimating the relationships among variables. It includes many techniques for modeling and analyzing several variables, when the focus is on the relationship between a dependent variable and one or more independent variables (or 'predictors'). More specifically, regression analysis helps one understand how the typical value of the dependent variable (or 'criterion variable') changes when any one of the independent variables is varied, while the other independent variables are held fixed. Most commonly, regression analysis estimates the conditional expectation of the dependent variable given the independent variables – that is, the average value of the dependent variable when the independent variables are fixed. Less commonly, the focus is on a quantile, or other location parameter of the conditional distribution of the dependent variable given the independent variables. In all cases, the estimation target is a function of the independent variables called the regression function. In regression analysis, it is also of interest to characterize the variation of the dependent variable around the regression function which can be described by a probability distribution. A related but distinct approach is Necessary Condition Analysis (NCA), which estimates the maximum (rather than average) value of the dependent variable for a given value of the independent variable (ceiling line rather than central line) in order to identify what value of the independent variable is necessary but not sufficient for a given value of the dependent variable. Regression analysis is widely used for prediction and forecasting, where its use has substantial overlap with the field of machine learning. Regression analysis is also used to understand which among the independent variables are related to the dependent variable, and to explore the forms of these relationships. In restricted circumstances, regression analysis can be used to infer causal relationships between the independent and dependent variables. However this can lead to illusions or false relationships, so caution is advisable; for example, correlation does not imply causation. Many techniques for carrying out regression analysis have been developed. Familiar methods such as linear regression and ordinary least squares regression are parametric, in that the regression function is defined in terms of a finite number of unknown parameters that are estimated from the data. Nonparametric regression refers to techniques that allow the regression function to lie in a specified set of functions, which may be infinite-dimensional. The performance of regression analysis methods in practice depends on the form of the data generating process, and how it relates to the regression approach being used. Since the true form of the data-generating process is generally not known, regression analysis often depends to some extent on making assumptions about this process. These assumptions are sometimes testable if a sufficient quantity of data is available. Regression models for prediction are often useful even when the assumptions are moderately violated, although they may not perform optimally. However, in many applications, especially with small effects or questions of causality based on observational data, regression methods can give misleading results. In a narrower sense, regression may refer specifically to the estimation of continuous response variables, as opposed to the discrete response variables used in classification. The case of a continuous output variable may be more specifically referred to as metric regression to distinguish it from related problems.
Views: 34292 The Audiopedia
Online Groceries Stuck in the Old Brick and Mortar Super Market Model: Hands-On Analysis with Python
 
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Why don't you like online grocery stores? Well, the numbers don't lie - or do they? Welcome to another "Hands-On Market Analysis with Python". Let's download some online and traditional supermarket data and start charting. MORE: Blog or code: http://www.viralml.com/video-content.html?fm=yt&v=0geX1Tr1DhE Signup for my newsletter and more: http://www.viralml.com Connect on Twitter: https://twitter.com/amunategui My books on Amazon: The Little Book of Fundamental Indicators: Hands-On Market Analysis with Python: Find Your Market Bearings with Python, Jupyter Notebooks, and Freely Available Data: https://amzn.to/2DERG3d Monetizing Machine Learning: Quickly Turn Python ML Ideas into Web Applications on the Serverless Cloud: https://amzn.to/2PV3GCV Grow Your Web Brand, Visibility & Traffic Organically: 5 Years of amunategui.github.Io and the Lessons I Learned from Growing My Online Community from the Ground Up: Fringe Tactics - Finding Motivation in Unusual Places: Alternative Ways of Coaxing Motivation Using Raw Inspiration, Fear, and In-Your-Face Logic https://amzn.to/2DYWQas Create Income Streams with Online Classes: Design Classes That Generate Long-Term Revenue: https://amzn.to/2VToEHK Defense Against The Dark Digital Attacks: How to Protect Your Identity and Workflow in 2019: https://amzn.to/2Jw1AYS Transcript Online Groceries - Stuck in the Old Brick and mortar super Market Model Hello YouTube Friends, Let's talk online grocery shopping and take a look at some market data using Python and Matplotlib - welcome to another hands-on market analysis session Interesting article in "City A.M." - London's free daily business newspaper. Entitled "Online grocery shopping growth stalls amid consumer frustration" QUOTE In 2018, just 45% of consumers said they did grocery shopping online, 4% down [from] 2016, according to research from analysts Mintel. "Mintel/City A.M." that's anemic growth, that's a slow downwards drift The research involved surveying 2,000 internet users, found 63 percent of them had an issue with an order in the past year... Of those who did not shop online, 73 percent said they preferred to choose fresh products themselves, while 24 percent said delivery charges were too high. 18 percent were unhappy with the minimum spending levels required."" That's in the UK, not much rosier in the US, from a recent article in the Atlantic entitled "Why People Still Don’t Buy Groceries Online" QUOTE "22% percent of apparel sales and 30 percent of computer and electronics sales happen online today, but the same can be said for only 3 percent of grocery sales, according to a report from Deutsche Bank Securities." Welcome to the ViralML Show, my name is Manuel Amunategui. I am the author of a few books including a new one that will be out at the end of the month "The Little Book of Fundamental Indicators" where I share my favorite hands-on market analysis fundamental indicators and data sets. Things like the S&P500, unemployment, real estate, CPI, VIX, etc. Please signup for my newsletter to advance access to my material. Connect on Twitter, Instagram, and subscribe to the channel. Walmart grocery is the No-1 Walmart online e-grocery store of USA - their motto is 'like your neighborhood Walmart store' and that's part of the problem - it needs to free itself from being a brick and mortar extension as it won't be profitable that way - Costco, Amazon Pantry, Kmart, Freshdirect, I like the online grocery model. before we get into the numbers let me briefly talk about my own experience. I used FreshDirect 20 years ago and loved it. I had a shopping list saved, burly guys would carry the stuff once a week all the way to our kitchen and it wasn't much more expensive than going to a supermarket in person. These models are attractive mostly in urban environments where delivery can be optimized, the distances aren't too far in-between, and the population is busy, professional, and can afford it. Places like NYC, SF. Countries like South Korea where the model works really well apparently. Even FreshDirect that spent more than 10 years just focusing on NY has struggled to grow and expand. Eventually they nailed and that is what is very interesing here. The state their success to better customer service and realtime monitoring. conclusion - online groceries should be cheaper than brick and mortar nothing needs to be customer visible until delivery. choose batches by of perishable by pics? Walmart Inc. (WMT) NYSE - NYSE Delayed Price. Currency in USD Costco Wholesale Corporation (COST) NasdaqGS - NasdaqGS Real Time Price. Currency in USD The Kroger Co. (KR) NYSE - NYSE Delayed Price. Currency in USD AMZN XLP Consumer Staples Select Sector SPDR Fund (XLP) NYSEArca - Nasdaq Real Time Price. Currency in USD CATEGORY:Finance HASCODE:ViralML-Hands-On-Market-Analysis-Online-Grocer-Trouble.html
Views: 53 Manuel Amunategui
Regression Analysis II: Linear Models
 
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Timothy McDaniel, Assistant Professor at Buena Vista University, describes his ICPSR Summer Program workshop "Regression Analysis II: Linear Models." For more information about this workshop, visit http://www.icpsr.umich.edu/icpsrweb/sumprog/courses/0008 For more information about the ICPSR Summer Program, visit icpsr.umich.edu/sumprog
🔁🥈Lakes at Record Levels, NASA Spills the Beans on Solar Activity GSM Climate News
 
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🔁🥈Lakes at Record Levels, NASA Spills the Beans on Solar Activity GSM Climate News GSM CLIMATE NEWS Part 2 last nights show: UK Proposal: 75% Wage Cut to Combat Climate Change Michael Bloomberg recently announced that he’s spending $500m to help the United States end its dependency on coal. The Guardian on Climate Activist Billionaires: “None of them should have as much money as they do.” White House Climate Review Could Damage Careers, Scientists Warn Concerns mount over reports that federal researchers could be compelled to participate in the controversial exercise The North American Great Lakes contain about one-fifth of the world’s surface fresh water. In May, new high water level records were set on Lakes Erie and Superior, and there has been widespread flooding across Lake Ontario for the second time in three years. These events coincide with persistent precipitation and severe flooding across much of central North America. The Sun’s activity rises and falls in an 11-year cycle. The forecast for the next solar cycle says it will be the weakest of the last 200 years. The maximum of this next cycle – measured in terms of sunspot number, a standard measure of solar activity level – could be 30 to 50% lower than the most recent one. The results show that the next cycle will start in 2020 and reach its maximum in 2025. The Dalton Minimum (200 Years Ago) The Dalton Minimum was a period of low solar activity, named after the English meteorologist John Dalton, lasting from about 1790 to 1830. Like the Maunder Minimum and Spörer Minimum, the Dalton Minimum coincided with a period of lower-than-average global temperatures. The Oberlach Station in Germany, for example, experienced a 2.0°C decline over 20 years. The Year Without a Summer, in 1816, also occurred during the Dalton Minimum. Solar cycles 5 and 6, as shown below, were greatly reduced in amplitude. Further reading about Dalton Minimum – In 2010 Anthony Watts wrote an article: A Dalton Minimum Repeat is Shaping Up: https://wattsupwiththat.com/2010/12/20/a-dalton-minimum-repeat-is-shaping-up/ All Show links here: https://thegrandsolarminimum.com/06-13-19-earth-space-weather-news-gsm-news-live-show-links/ GSM - The Grand Solar Minimum Channel #GSM #grandsolarminimum Visit our site at https://www.thegrandsolarminimum.com Please consider supporting our content at Patreon! https://www.patreon.com/grandsolarminimum Mari is selling T-Shirts to raise money to save her Dad's House https://teespring.com/stores/grand-solar-minimum-gsm-merch or Donate at https://www.paypal.me/TheGrandSolarMinimum LIKE US ON FACEBOOK! https://www.facebook.com/thegrandsolarmini/ https://radar.weather.gov/Conus/Loop/NatLoop.gif https://www.tropicaltidbits.com/analysis/models/ https://www.tropicaltidbits.com/analysis/models/?model=gfs&region=us&pkg=T2m&runtime=2018060718&fh=384 https://www.tropicaltidbits.com/analysis/ocean/cdas-sflux_sst_global_1.png https://www.tropicaltidbits.com/analysis/ocean/natlssta.png https://www.tropicaltidbits.com/analysis/ocean/nino34.png https://nsidc.org/arcticseaicenews/charctic-interactive-sea-ice-graph/ https://nsidc.org/arcticseaicenews/ https://www.woweather.com/cgi-bin/totalclouds?LANG=en&CONT=namk&HH=150&TYP=t2m
Point Cloud Modeling the Alpine Landscape | Christophe Girot | TEDxZurich
 
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Christophe Girot, Professor and Chair of Landscape Architecture in the Architecture Department of ETH, introduces us to point cloud modeling - a tool that measures, with surprising accuracy, topological forms around us. Girot explains how the method has been able to translate a seemingly infinite set of tiny informational dots into more than a pretty pointillist picture. The gorgeous visualizations that result from the technology can indeed hypnotize, but they also provide a tool to investigate topographies. Manifestations such as the 20-meter projection of a fly-through made for Gotthard Landscape: The Unexpected View (ETH’s contribution to the 2014 Architecture Biennale in Venice) show us a view we would not otherwise be able to conceptualize. Christophe Girot, Professor and Chair of Landscape Architecture at the Architecture Department of the ETH (Swiss Federal Institute of Technology) in Zürich since 2001, founded there the Institute of Landscape Architecture in 2005. The LVML (Landscape Visualising and Modelling Laboratory) directed conjunctly with ETH Professor Adrienne Grêt Regamey, has been in operation since 2009. It has enabled significant advances in landscape design, ecological analysis and point cloud modeling. The LVML has contributed to a broad variety of research projects in Switzerland and abroad ranging from the “Gotthard Landscape, Myths and Technology” Project exhibited at the 2014 Architecture Biennale in Venice done in collaboration with the USI Mendrizio, to the “Bits of Kyoto Gardens” exhibition made with the Kyoto Design Lab and shown at the Art Chiyoda Gallery in Tokyo in 2016. Christophe Girot received a double Masters of Architecture (1985) and Landscape Architecture (1988) from U.C. Berkeley. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at http://ted.com/tedx
Views: 25302 TEDx Talks
Measuring and Modeling Life-Death Decisions in Single Cells
 
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Air date: Wednesday, October 20, 2010, 3:00:00 PM Time displayed is Eastern Time, Washington DC Local Category: Wednesday Afternoon Lectures Description: Lecture Summary: When monitoring signal transduction at the level of single living cells, we observe remarkably complex dynamics and great variability from one cell to the next. However, it is also clear that finely tuned interactions among processes operating on quite different time scales are essential in cell fate determination and, conversely, that errors in coordination underlie many oncogenic changes. How can the observed variability among genetically identical cells be reconciled with an apparent requirement for precise control, what is the impact of variability on the evolution of tumors and what are the implications for emergence of drug resistant cancers in patients? I will begin to address these issues with an emphasis on cellular responses to TRAIL, a prototypical inducer of receptor-mediated (extrinsic) apoptosis and an investigational therapeutic. Some TRAIL-treated human cells die within ~40 min, some only after 12 hr, and yet others live indefinitely. We have explored three explanations for these differences: (i) genetic or epigenetic variation (ii) the involvement of one or more biochemical processes subject to stochastic fluctuation (iii) transient but deterministic differences in cell state. I will illustrate how all three interact on different time scales to determine those aspects of cellular physiology that are highly invariant and those that are variable. I will also illustrate how studying these problems requires mathematical analysis of the underlying biochemistry. This analysis involves a close interplay between model generation, model calibration against data and model verification through empirical testing of molecular hypotheses. I will advance the thesis that we must replace the informal pictorial models currently dominating molecular biology with probabilistic mathematical constructs that assign rigorous "degrees of belief" to specific biochemical hypothesis given prior knowledge and a specific set of empirical data. Lecture Objectives: 1. To describe an approach to understanding signal transduction pathways that involves combining biochemical and cell-based measurement with mathematical modeling of relevant molecular processes. In my lecture the focus will be on receptor-mediated cell death triggered by TRAIL and Fas ligands 2. To present an analysis of variability from one cell to the next in responses to TRAIL and our determination that this variability has a non-genetic basis, arising from natural fluctuations in protein levels among otherwise non-identical cells. 3. To consider the impact of non-genetic variability on responses to therapeutic drugs more generally and on the likely connection between variability and fractional killing observed clinically. To advance the idea that non-genetic variability, having its origins in the inherently stochastic nature of biochemical reactions, is a probable explanation for many phenomena currently ascribed to tumor stem cells. The NIH Director's Wednesday Afternoon Lecture Series includes weekly scientific talks by some of the top researchers in the biomedical sciences worldwide. Author: Dr. Peter Sorger, Harvard Medical School Runtime: 01:09:00 Permanent link: http://videocast.nih.gov/launch.asp?16220
Views: 2918 nihvcast
Turn your Metal Zone into a Waza Part II - The switch
 
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This is a follow up video of "Turn your Metal Zone into a Waza Craft in 5 min?". If you haven't seen it yet I strongly reccomend to watch it first by clicking here: https://youtu.be/c3qaJAIzU14 I'm still amazed by the repercussion of the last Metal Zone video of Inspiring Track. For a small channel like mine having 100k views and 500+ comments in the last week only was absolutely mind blowing! A lot of thanks to all of you who have taken the time to write something. As a sort of retribution to you, and after reading several people asking about a way to add a switch to alternate between stock and modded, here's this video. It's certainly a lot more involved than the previous mod wich has the appeal of being super simple and effective. Drilling holes in your pedal case isn't for everyone but hey! some comments said they got a used MT2 for 25 bucks so it's a great place to practice your modding skills before attempting to drill your original Klon Centaur! Hope you like it!!! If you like my videos please become a Patron and help me keep producing more content and improving quality - you'll gain access to exclusive features too! https://www.patreon.com/inspiringtracks ---------------------------------------------- All backing tracks of the video - in order of appearance: AC/DC inspired face melting Hard Rock https://youtu.be/1_5bhaIfvzs Cool groovy jazz funk: https://youtu.be/4i-UvWDli6s Awesome Texas blues in E: https://youtu.be/ICYFOkzpZ7g 80's Inspired power metal https://youtu.be/VrjBF7ewuwQ If you liked some of this tracks, please consider support my work by purchasing it in Band Camp - https://inspiringtracks.bandcamp.com/ ------------------------------------------------- https://electricdruid.net/boss-mt-2-metal-zone-pedal-analysis/ This page has an amazing and detailed analysis of the MT-2 circuit done by Tom Wiltshire which inspired me to do this mod. Check it out! Follow me on Instagram: https://www.instagram.com/yeipici/ Follow me on Twitter: https://twitter.com/InspiringTracks Follow me on Facebook: https://www.facebook.com/InspiringTracks Greetings from Argentina! Juan Pablo - Inspiring Tracks #boss #metalzone #wazacraft
Views: 288 Inspiring tracks
TESLA STOCK | WHY IT WILL RISE?
 
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TESLA STOCK - WHY IT WILL RISE? WATCH THIS VIDEO TO FIND OUT HOW HIGH TESLA STOCK WILL RISE. It's time to stop the confusion. Join Us!!! Join This Elite Group - Sign Up Here: https://www.huefinancial.com Follow us on Twitter @HueFin_News Follow us on Instagram - huefinnews Follow us on Facebook - HueFin News Inquiries: contact us at [email protected] ARTICLE: https://www.barrons.com/articles/penny-pennington-to-lead-practice-being-fearless-51560444224 Here at HueFin News we will show you that you do not need to buy expensive charting software or use indicators to understand where the market is going. The cryptocurrency market, stock market, and commodities market all speak through the charts. It is a language and it is spoken through volume and bars. It is our purpose to give you market analysis and news that is not confusing. In order to be a profitable trader you have to PREDICT with HIGH CONFIDENCE where price is LIKELY to move. Understanding market language will allow you see where price is going to move with high precision. That's why we are giving you news (before it happens) according to the charts. Make sure you subscribe to this channel to get a better understanding of the market without indicators, shapes, patterns, or expensive software. Also, leave a comment if you have any questions. HueFin News will also speak on topics that are important to you. Some topics include: cryptocurrency news, gold, silver, oil, fiat currencies, fintech, stocks, economic metrics, day trading, swing trading, FOREX, and many other topics that we feel is vital to your profitability in the financial markets. **This is not investment advice** **Trading involves risk** **This is for educational purposes only** #huefinnews #newsbythechart #teslastock2020
Views: 267 HueFin News
Cash Flow Statement with Adjustments - solved problem :-by kauserwise
 
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Here is the video about Cash Flow statement in Cost and Management accounting , and in this video we discussed Funds from operation,cash from operation, Funds flow statement with sample problem in simple manner. Hope this will help you to get the subject knowledge at the end. Thanks and All the best. To watch more tutorials pls visit: www.youtube.com/c/kauserwise * Financial Accounts * Corporate accounts * Cost and Management accounts * Operations Research Playlists: For Financial accounting - https://www.youtube.com/playlist?list=PLabr9RWfBcnojfVAucCUHGmcAay_1ov46 For Cost and Management accounting - https://www.youtube.com/playlist?list=PLabr9RWfBcnpgUjlVR-znIRMFVF0A_aaA For Corporate accounting - https://www.youtube.com/playlist?list=PLabr9RWfBcnorJc6lonRWP4b39sZgUEhx For Operations Research - https://www.youtube.com/playlist?list=PLabr9RWfBcnoLyXr4Y7MzmHSu3bDjLvhu
Views: 644767 Kauser Wise
5 tips to improve your critical thinking - Samantha Agoos
 
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View full lesson: http://ed.ted.com/lessons/5-tips-to-improve-your-critical-thinking-samantha-agoos Every day, a sea of decisions stretches before us, and it’s impossible to make a perfect choice every time. But there are many ways to improve our chances — and one particularly effective technique is critical thinking. Samantha Agoos describes a 5-step process that may help you with any number of problems. Lesson by Samantha Agoos, animation by Nick Hilditch.
Views: 4693055 TED-Ed
What is SIMULATION? What does SIMULATION mean? SIMULATION meaning, definition & explanation
 
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✪✪✪✪✪ GET FREE BITCOINS just for surfing the web as you usually do - https://bittubeapp.com/?ref?2JWO9YEAJ ✪✪✪✪✪ ✪✪✪✪✪ The Audiopedia Android application, INSTALL NOW - https://play.google.com/store/apps/details?id=com.wTheAudiopedia_8069473 ✪✪✪✪✪ What is SIMULATION? What does SIMULATION mean? SIMULATION meaning - SIMULATION pronunciation - SIMULATION definition - SIMULATION explanation - How to pronounce SIMULATION? Source: Wikipedia.org article, adapted under https://creativecommons.org/licenses/by-sa/3.0/ license. Simulation is the imitation of the operation of a real-world process or system over time. The act of simulating something first requires that a model be developed; this model represents the key characteristics or behaviors/functions of the selected physical or abstract system or process. The model represents the system itself, whereas the simulation represents the operation of the system over time. Simulation is used in many contexts, such as simulation of technology for performance optimization, safety engineering, testing, training, education, and video games. Often, computer experiments are used to study simulation models. Simulation is also used with scientific modelling of natural systems or human systems to gain insight into their functioning. Simulation can be used to show the eventual real effects of alternative conditions and courses of action. Simulation is also used when the real system cannot be engaged, because it may not be accessible, or it may be dangerous or unacceptable to engage, or it is being designed but not yet built, or it may simply not exist. Key issues in simulation include acquisition of valid source information about the relevant selection of key characteristics and behaviours, the use of simplifying approximations and assumptions within the simulation, and fidelity and validity of the simulation outcomes. Procedures and protocols for model verification and validation are an ongoing field of academic study, refinement, research and development in simulations technology or practice, particularly in the field of computer simulation. Historically, simulations used in different fields developed largely independently, but 20th century studies of systems theory and cybernetics combined with spreading use of computers across all those fields have led to some unification and a more systematic view of the concept. Physical simulation refers to simulation in which physical objects are substituted for the real thing (some circles use the term for computer simulations modelling selected laws of physics, but this article does not). These physical objects are often chosen because they are smaller or cheaper than the actual object or system. Interactive simulation is a special kind of physical simulation, often referred to as a human in the loop simulation, in which physical simulations include human operators, such as in a flight simulator or a driving simulator. Human in the loop simulations can include a computer simulation as a so-called synthetic environment. Simulation in failure analysis refers to simulation in which we create environment/conditions to identify the cause of equipment failure. This was the best and fastest method to identify the failure cause.
Views: 27822 The Audiopedia
DUBAI के पास इतना पैसा कहाँ से आया | महा मोटिवेशन | Case Study | Dr Vivek Bindra
 
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In This video Dr Vivek Bindra explains that how Dubai became one of the richest countries. To Attend a 4 hour Power Packed “Extreme Motivation & Peak Performance” Seminar of BOUNCE BACK SERIES, Call at +919310144443 or Visit https://bouncebackseries.com/ To attend upcoming LEADERSHIP FUNNEL PROGRAM, Call at +919810544443 or Visit https://vivekbindra.com/upcoming-programs/leadership-funnel-by-vivek-bindra.php Watch the Leadership Funnel Program Testimonial Video, here at https://youtu.be/xNUysc5b0uI Follow our Official Facebook Page at https://facebook.com/DailyMotivationByVivekBindra/ and get updates of recent happenings, events, seminars, blog articles and daily motivation. #Dubai #Trending #DrVivekBindra
What is STOCHASTIC PROCESS? What does STOCHASTIC PROCESS mean? STOCHASTIC PROCESS meaning
 
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✪✪✪✪✪ GET FREE BITCOINS just for surfing the web as you usually do - https://bittubeapp.com/?ref?2JWO9YEAJ ✪✪✪✪✪ ✪✪✪✪✪ The Audiopedia Android application, INSTALL NOW - https://play.google.com/store/apps/details?id=com.wTheAudiopedia_8069473 ✪✪✪✪✪ What is STOCHASTIC PROCESS? What does STOCHASTIC PROCESS mean? STOCHASTIC PROCESS meaning - STOCHASTIC PROCESS definition - STOCHASTIC PROCESS explanation. Source: Wikipedia.org article, adapted under https://creativecommons.org/licenses/by-sa/3.0/ license. A stochastic process is a random process evolving with time. More specifically, in probability theory, a stochastic process is a time sequence representing the evolution of some system represented by a variable whose change is subject to a random variation. This is the probabilistic counterpart to a deterministic process (or deterministic system). Instead of describing a process which can only evolve in one way (as in the case, for example, of solutions of an ordinary differential equation), in a stochastic, or random process, there is some indeterminacy: even if the initial condition (or starting point) is known, there are several (often infinitely many) directions in which the process may evolve. In the simple case of discrete time, as opposed to continuous time, a stochastic process is a sequence of random variables. (For example, see Markov chain, also known as discrete-time Markov chain.) The random variables corresponding to various times may be completely different, the only requirement being that these different random quantities all take values in the same space (the codomain of the function). One approach may be to model these random variables as random functions of one or several deterministic arguments (in most cases, the time parameter). Although the random values of a stochastic process at different times may be independent random variables, in most commonly considered situations they exhibit complicated statistical dependence. Familiar examples of stochastic processes include stock market and exchange rate fluctuations; signals such as speech; audio and video; medical data such as a patient's EKG, EEG, blood pressure or temperature; and random movement such as Brownian motion or random walks. A generalization, the random field, is defined by letting the variables be parametrized by members of a topological space instead of time. Examples of random fields include static images, random terrain (landscapes), wind waves and composition variations of a heterogeneous material.
Views: 37823 The Audiopedia
Interviewing with McKinsey: Case study interview
 
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Learn what to expect during the case study interview. Hear what some recent hires did - and did not - do to prepare.
Views: 637921 McKinsey & Company
Introduction to Modeling in Excel for Decision Makers
 
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To learn more, go to: https://learning.ly/products/introduction-to-modeling-in-excel-for-decision-makers Part 1 demonstrates how to use Excel efficiently. You will begin with the AutoFill, efficient selection of cells with shortcuts and learn to how to use functions and addressing correctly. Part 1 also covers naming of cells and ranges and variety of topic on how to create charts, add data to charts and inserting pictures to charts. The last session of this part is about Sparklines. Part 2 covers two frequently needed skills: the IF function, text manipulation (text to columns), text functions and the use of the Flash Fill. Part 3 introduces all the statistical tools you need as a decision maker, analyst or a student – without being a trained statistician. It covers descriptive statistics, frequency distributions and frequency distributions charts. You will also learn how to use the Data Analysis tool-pack add-in, simple regressions and how to fit functions to linear or nonlinear curves. Part 4 enhances your Excel decision making skills. This is an introduction to the “What IF Analysis”, using conventional and unconventional Excel tools. The techniques will be first applied to a simple financial model. Part 4 continues with the Goal Seek, Data Tables sensitivity analysis and it ends with a business plan case study. Part 5 demonstrates range and exact match VLOOKUP functions in the first part. The second half covers “going the third dimension”, summing several sheets to a single summary sheet. Part 6 is about data bases and data-mining. It begins with sorting and filtering data, it covers Subtotals and Grouping data for better analysis of your database. It ends with a comprehensive set of pivot table sessions.
Views: 48 Learningly TV
Why obvious lies make great propaganda
 
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For leaders like Trump and Putin, telling big lies isn't about persuasion -- it's about power. Subscribe to our channel! http://goo.gl/0bsAjO At first glance, US President Donald Trump and Russian leader Vladimir Putin seem to have wildly different communication styles. But what they share is a tendency to repeat big, obvious lies -- a tactic researchers have dubbed the “firehose of falsehood.” Whether it’s lying about Russian troops in Crimea or falsely claiming millions of people voted illegally during the 2016 election, both leaders demonstrate a kind of shamelessness when it comes to telling and retelling big lies. And that’s because firehosing isn’t actually about persuasion. It’s about power. Read the original "firehose of falsehood" report: https://www.rand.org/pubs/perspectives/PE198.html Read more of Masha Gessen’s work at The New Yorker: https://www.newyorker.com/news/our-columnists/how-putin-and-trump-each-lied-in-helsinki Read more of Christopher Paul’s work at RAND: https://www.rand.org/about/people/p/paul_christopher.html On Strikethrough, Vox producer Carlos Maza explores the challenges facing the news media in the age of Trump. Follow Carlos on Facebook for more: https://www.facebook.com/CarlosMazaVox Vox.com is a news website that helps you cut through the noise and understand what's really driving the events in the headlines. Check out http://www.vox.com. Watch our full video catalog: http://goo.gl/IZONyE Follow Vox on Facebook: http://goo.gl/U2g06o Or Twitter: http://goo.gl/XFrZ5H
Views: 1289832 Vox
Is Google Stock A BUY In 2019? | Alphabet (GOOG) Stock Analysis
 
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★★Free Training Video On My 4-Step Investing Strategy★★ ▶︎ http://bit.ly/learnbyexample Am I buying Google Stock in 2019? In this video I analyse Alphabet Inc, (Google Inc.) using the 4-step value investing process that I have used to consistently find low-risk, high-return investments. Goog stock is a company that ALOT of people are analysing recently so I wanted to add my thoughts and do a deep dive in Google’s fundamentals. ------- ★★Analysis Spreadsheet (It's FREE)★★ ▶︎ https://www.hamishhodder.com/spreadsheet ------- YOUNG INVESTORS PODCAST ▶︎ iTunes http://bit.ly/YIPitunes ▶︎ Spotify http://bit.ly/YIPspotify ▶︎ YouTube http://bit.ly/YIPYouT SUBSCRIBE & Join The Team: https://goo.gl/gvr6PW ------- FOLLOW ME ON INSTAGRAM ▶︎ https://www.instagram.com/hamishhodderofficial LIKE ME ON FACEBOOK ▶︎ https://bit.ly/2HXowfm FOLLOW ME ON TWITTER ▶︎ https://twitter.com/hamish_hodder EMAIL ME ▶︎ [email protected] ------- Disclaimer: The information in this video is general information only and should not be taken as constituting professional advice from Hamish Hodder. Hamish Hodder is not a financial adviser. You should consider seeking independent legal, financial, taxation or other advice to check how the information relates to your unique circumstances. Hamish Hodder is not liable for any loss caused, whether due to negligence or otherwise arising from the use of, or reliance on, the information provided directly or indirectly, by use of this video.
Views: 1045 Hamish Hodder
Altcoin/Bitcoin PRICE analysis today. XRP, BTC, ETH, EOS, LTC, BNB
 
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✅💰⚡🔥Get access to the trade alerts and/or 1 on 1 training here: https://www.patreon.com/thetravelingcrypto 🔥⚡💰✅ Join the Discord here: https://discord.gg/aUG5Zx2 ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ LINKS ⛓️ Interested in 1 on 1 technical analysis training? https://www.patreon.com/thetravelingcrypto Sign up to Binance: https://www.binance.com/?ref=21758606 Buy a Ledger Nano S: https://www.ledger.com?r=fbb79b2fbef3 Join the Discord here: https://discord.gg/aUG5Zx2 Free Bitcoin! Sign up for Coinbase here and get $10 in free Bitcoin! https://goo.gl/mpnBY5 https://twitter.com/travelingcrypto https://www.instagram.com/thetravelingcrypto/ ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ Today we'll go over technical analysis and price targets for cryptocurrency (crypto) altcoins and Bitcoin. We'll look at XRP Ripple, BTC Bitoin, ETH Ethereum, EOS, LTC Litecoin, and BNB Binance coin and review today's prices and future price predictions for those cryptocurrency coins. #Bitcoin #XRP #CrytpoNews bitcoin, xrp ripple, xrp price, ripple xrp price, altcoin price, altcoins, crytpo prices, crypto news, cryptocurrency prices, cryptocurrency news, altcoin news, crypto today, bitcoin today, altcoins today
Views: 3100 The Traveling Trader