Clicked here http://www.MBAbullshit.com/ and OMG wow! I'm SHOCKED how easy.. No wonder others goin crazy sharing this??? Share it with your other friends too! Fun MBAbullshit.com is filled with easy quick video tutorial reviews on topics for MBA, BBA, and business college students on lots of topics from Finance or Financial Management, Quantitative Analysis, Managerial Economics, Strategic Management, Accounting, and many others. Cut through the bullshit to understand MBA!(Coming soon!) http://www.youtube.com/watch?v=a5yWr1hr6QY
Views: 550833 MBAbullshitDotCom
This brief video explains *the components of the decision tree *how to construct a decision tree *how to solve (fold back) a decision tree. Other videos: Decision Analysis 1: Maximax, Maximin, Minimax Regret https://youtu.be/NQ-mYn9fPag Decision Analysis 1.1 (Costs): Maximax, Maximin, Minimax Regret https://youtu.be/ajkXzvVegBk Decision Analysis 2.1: Equally Likely (Laplace) and Realism (Hurwicz) https://www.youtube.com/watch?v=zlblUq9Dd14 Decision Analysis 2: EMV & EVPI - Expected Value & Perfect Information https://www.youtube.com/watch?v=tbv9E9D2BRQ Decision Analysis 4: EVSI - Expected Value of Sample Information https://www.youtube.com/watch?v=FUY07dvaUuE Decision Analysis 5: Posterior Probability Calculations https://youtu.be/FpKiHpYnY_I
Views: 201463 Joshua Emmanuel
This Decision Tree algorithm in Machine Learning tutorial video will help you understand all the basics of Decision Tree along with what is Machine Learning, problems in Machine Learning, what is Decision Tree, advantages and disadvantages of Decision Tree, how Decision Tree algorithm works with solved examples and at the end we will implement a Decision Tree use case/ demo in Python on loan payment prediction. This Decision Tree tutorial is ideal for both beginners as well as professionals who want to learn Machine Learning Algorithms. Below topics are covered in this Decision Tree Algorithm Tutorial: 1. What is Machine Learning? ( 02:25 ) 2. Types of Machine Learning? ( 03:27 ) 3. Problems in Machine Learning ( 04:43 ) 4. What is Decision Tree? ( 06:29 ) 5. What are the problems a Decision Tree Solves? ( 07:11 ) 6. Advantages of Decision Tree ( 07:54 ) 7. How does Decision Tree Work? ( 10:55 ) 8. Use Case - Loan Repayment Prediction ( 14:32 ) What is Machine Learning: Machine Learning is an application of Artificial Intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Subscribe to our channel for more Machine Learning Tutorials: https://www.youtube.com/user/Simplilearn?sub_confirmation=1 Machine Learning Articles: https://www.simplilearn.com/what-is-artificial-intelligence-and-why-ai-certification-article?utm_campaign=Decision-Tree-Algorithm-With-Example-RmajweUFKvM&utm_medium=Tutorials&utm_source=youtube To gain in-depth knowledge of Machine Learning, check our Machine Learning certification training course: https://www.simplilearn.com/big-data-and-analytics/machine-learning-certification-training-course?utm_campaign=Decision-Tree-Algorithm-With-Example-RmajweUFKvM&utm_medium=Tutorials&utm_source=youtube #MachineLearningAlgorithms #Datasciencecourse #DataScience #SimplilearnMachineLearning #MachineLearningCourse - - - - - - - - About Simplilearn Machine Learning course: A form of artificial intelligence, Machine Learning is revolutionizing the world of computing as well as all people’s digital interactions. Machine Learning powers such innovative automated technologies as recommendation engines, facial recognition, fraud protection and even self-driving cars.This Machine Learning course prepares engineers, data scientists and other professionals with knowledge and hands-on skills required for certification and job competency in Machine Learning. - - - - - - - Why learn Machine Learning? Machine Learning is taking over the world- and with that, there is a growing need among companies for professionals to know the ins and outs of Machine Learning The Machine Learning market size is expected to grow from USD 1.03 Billion in 2016 to USD 8.81 Billion by 2022, at a Compound Annual Growth Rate (CAGR) of 44.1% during the forecast period. - - - - - - What skills will you learn from this Machine Learning course? By the end of this Machine Learning course, you will be able to: 1. Master the concepts of supervised, unsupervised and reinforcement learning concepts and modeling. 2. Gain practical mastery over principles, algorithms, and applications of Machine Learning through a hands-on approach which includes working on 28 projects and one capstone project. 3. Acquire thorough knowledge of the mathematical and heuristic aspects of Machine Learning. 4. Understand the concepts and operation of support vector machines, kernel SVM, naive Bayes, decision tree classifier, random forest classifier, logistic regression, K-nearest neighbors, K-means clustering and more. 5. Be able to model a wide variety of robust Machine Learning algorithms including deep learning, clustering, and recommendation systems - - - - - - - Who should take this Machine Learning Training Course? We recommend this Machine Learning training course for the following professionals in particular: 1. Developers aspiring to be a data scientist or Machine Learning engineer 2. Information architects who want to gain expertise in Machine Learning algorithms 3. Analytics professionals who want to work in Machine Learning or artificial intelligence 4. Graduates looking to build a career in data science and Machine Learning - - - - - - For more updates on courses and tips follow us on: - Facebook: https://www.facebook.com/Simplilearn - Twitter: https://twitter.com/simplilearn - LinkedIn: https://www.linkedin.com/company/simplilearn - Website: https://www.simplilearn.com Get the Android app: http://bit.ly/1WlVo4u Get the iOS app: http://apple.co/1HIO5J0
Views: 39409 Simplilearn
This video is about DECISION TREE ANALYSIS which will help you to understand the basic concept of decision tree analysis. In this video i have solved one practical question which will help you to get the process of solving any numerical question and example. After watching you will also get to know that how to construct the decision tree. I hope this will help you. Thanks JOLLY Coaching how to solve decision tree problem, Decision tree analysis, How to solve decision tree analysis, Practical solved questios on decision tree analysis. decision threoy decision tree analysis
Views: 110861 JOLLY Coaching
http://www.brainshark.com/angoss/ComprehensiveOverview - This 40 minute, deep-dive demonstration of Angoss’ Analytics Software Suite provides a comprehensive overview of Decision Trees and Strategy Trees.
Views: 1402 AngossSoftware
In this revision webinar we explored the role of decision trees, taking some time to explain how they are laid out and calculated.
Views: 24814 tutor2u
A decision tree is a decision support tool that uses a tree-like graph or model of decisions and their possible consequences, including chance event outcomes, resource costs, and utility. It is one way to display an algorithm. We are going to use Weka. Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes. You can download Weka from here
Views: 1177 Ayyaz Ahmad
UserTesting's Director of Research Marieke McCloskey and Director of Product Brian Tran shared their advice on “How to Make Better Product Decisions by Using Qualitative & Quantitative Data.” at Lean Product Meetup on December 8, 2018. Marieke and Brian explained how to combine qualitative user research with quantitative data methods throughout the development process. They shared case studies of how Product Managers and Designers at UserTesting used qualitative and quantitative methods to identify high-growth opportunities, understanding their users, iteratively develop solutions, and optimize what’s live. If you would like to see more videos like this check out the followings talks from past months: ▶ Dan Olsen's Product-Market Fit talk at Mind the Product SF 2018: https://www.youtube.com/watch?v=bDUrQlmwox4 ▶ Jake Knapp about his new book “Make Time” : https://www.youtube.com/watch?v=q4Sx9o85y-s ▶ Box CEO Aaron Levie Interview: https://www.youtube.com/watch?v=cJC_JuxRgIg ▶ “Product is Hard” by Marty Cagan https://www.youtube.com/watch?v=gCYFmrvPI8Q ▶ “Jobs to Be Done” by Tony Ulwick: https://www.youtube.com/watch?v=qQFUHapOJsQ ▶ Using Data to Set Your Product Strategy by Justin Bauer, who is the VP of Product at Amplitude: https://www.youtube.com/watch?v=H8XQVQy8Xiw ▶ For upcoming videos like this, subscribe to our channel: http://www.youtube.com/c/DanOlsen ▶ This video was produced by Coreography https://coreography.com. ▶ Lean Product was founded by Dan Olsen https://dan-olsen.com. ▶ Learn more about Lean Product Meetups at https://meetup.com/lean-product #DanOlsen #LeanProductMeetup #ProductManagement
Views: 347 Dan Olsen
Follow me on Twitter @amunategui Check out my new book "Monetizing Machine Learning": https://amzn.to/2CRUO Before breaking out the big algos on a new dataset, it is a good idea to first explore the simple, intuitive patterns (i.e. heuristics). This will pay off in droves. It not only exposes you to your data, it makes you understand it and gives you that critical 'business knowledge'. People you work with will ask you general questions about the data, and this is how you can get to it. In this post will explore how to find the important values that explain a particular target outcome. We'll use sklearn's DecisionTreeClassifier and graphviz for exporting and visualizing resulting trees. Blog/Code: http://amunategui.github.io/simple-heuristics/index.html Follow me on Twitter https://twitter.com/amunategui and signup to my newsletter: http://www.viralml.com/signup.html More on http://www.ViralML.com and https://amunategui.github.io Thanks!
Views: 4321 Manuel Amunategui
This video is from the course Master Decision Making and Problem Solving Skills, where you will learn all you need to know about how to maximize decision making tools. To learn more click here: http://onlineskillacademy.teachable.com/p/master-strategic-thinking-and-problem-solving-skills Join our email list to get a FREE Non-profit Management Course: http://eepurl.com/dJC5tw Help me get 1000 subscribers: https://www.youtube.com/channel/UCBVxHh1OuuwaNWev71jl9Hw Join the Online Skill Academy community for updates: https://www.facebook.com/onlineskillacademy/ -Master Over Twenty Strategic Thinking And Decision Making Tools Lead excellent and diverse teams Think and act strategically Over twenty decision making and problem solving strategies! Learn how to make better decisions! Use the models to resolve conflicts and deliver great feedback! Conduct a product analysis! Analyze policy After this course you will have the tools / skills needed to make important decision to take you to the next level!
Views: 18 Online Skill Academy
ETSU Online Programs - http://www.etsu.edu/online
Views: 88803 East Tennessee State University
Risk and Uncertainty - Decision Trees Part 1 - ACCA Performance Management (PM) *** Complete list of free ACCA lectures is available on OpenTuition.com https://opentuition.com/acca/pm/ *** Free lectures for the ACCA Performance Management (PM) Exam To benefit from this lecture, visit opentuition.com/acca to download the notes used in the lecture and access ALL free resources: ACCA lectures, tests and Ask the ACCA Tutor Forums Please go to opentuition to post questions to ACCA Tutor, we do not provide support on youtube.
Views: 2758 OpenTuition
Q.Shelf harnesses data science to power better range and space decisions for retailers and suppliers. Q.Shelf currently comprises two key modules: Customer Decision Tree and Diagnose Range. Discover more at https://www.quantium.com/q-shelf/
Views: 230 Quantium
Sara Robertson, VP, Product Engineering, Xaxis
Views: 879 AppNexus
Hey everyone! Glad to be back! Decision Tree classifiers are intuitive, interpretable, and one of my favorite supervised learning algorithms. In this episode, I’ll walk you through writing a Decision Tree classifier from scratch, in pure Python. I’ll introduce concepts including Decision Tree Learning, Gini Impurity, and Information Gain. Then, we’ll code it all up. Understanding how to accomplish this was helpful to me when I studied Machine Learning for the first time, and I hope it will prove useful to you as well. You can find the code from this video here: https://goo.gl/UdZoNr https://goo.gl/ZpWYzt Books! Hands-On Machine Learning with Scikit-Learn and TensorFlow https://goo.gl/kM0anQ Follow Josh on Twitter: https://twitter.com/random_forests Check out more Machine Learning Recipes here: https://goo.gl/KewA03 Subscribe to the Google Developers channel: http://goo.gl/mQyv5L
Views: 205666 Google Developers
Skipper Seabold http://www.pyvideo.org/video/3548/classification-using-pandas-and-scikit-learn This will be a tutorial-style talk demonstrating how to use pandas and scikit-learn to do classification tasks. We will do some data munging and visualization using pandas and matplotlib. Then we will introduce some of the different classifiers in scikit-learn and show how to include them into a classification pipeline to produce the best predictive model. Interactive IPython/Jupyter notebooks will be provided.
Views: 38719 Next Day Video
This video is a part of an online course that provides a comprehensive introduction to practial machine learning methods using MATLAB. In addition to short engaging videos, the course contains interactive, in-browser MATLAB projects. Complete course is available here: http://bit.ly/2Djmuc3 Learn more about using MATLAB for machine learning: http://bit.ly/2O9Sujp Get a free product Trial: https://goo.gl/ZHFb5u Learn more about MATLAB: https://goo.gl/8QV7ZZ Learn more about Simulink: https://goo.gl/nqnbLeSee What's new in MATLAB and Simulink: https://goo.gl/pgGtod © 2018 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc. See www.mathworks.com/trademarks for a list of additional trademarks. Other product or brand names maybe trademarks or registered trademarks of their respective holders.
Views: 743 MATLAB
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Views: 13223 Sonu Singh - PPT wale
For downloadable versions of these lectures, please go to the following link: http://www.slideshare.net/DerekKane/presentations https://github.com/DerekKane/YouTube-Tutorials This lecture provides an overview of decision tree machine learning algorithms and random forest ensemble techniques. The practical example includes diagnosing Type II diabetes and evaluating customer churn in the telecommunication industry.
Views: 69388 Derek Kane
Learn how to strategically set up your shelf using a consumer decision tree. This approach will set you up for success, because you're organizing the shelf based on what's most important to the Shopper. Happy learning!
Views: 740 Sue Nicholls
For any business to survive, the need for innovation is given. Yet ask yourself – are you innovating ‘effectively’ to create products? Are your talented developers spending time on the right areas of new product development? Are these new ideas creating meaningful impact on the business? In this talk, let’s put on a new hat, that of a Product Manager in the ‘resource constrained’ real world. We’ll explore how the product manager solves the jigsaw puzzle to maximize gains for the business. I’ll share some experiences from over the years - as a software developer for smartphones, to a product manager shipping Smart TV. It is an eye opener to figure what we should really be spending our precious development effort on. How can leaders in software innovation deploy their efforts more effectively? We’ll hack into the mind of a product manager to explore what he really does? Decode the underlying rationale & decision tree of their product managers. Empowered with that knowledge you will be able to embrace meaningful innovation that does both – create value for customers and extract value for the business. NDC Conferences https://ndctechtown.com https://ndcconferences.com
Views: 199 NDC Conferences
Making a decision to change a product's design or it's packaging isn't easy. Solutions are clearly not one-intervention-fits-all. Could these tricky decisions be simplified by assessing plastic products or packaging in a new way? Resource futures have developed a framework that takes a fresh look at plastic items in terms of their ‘use phase’ i.e. the length of time a plastic item is used for its intended purpose. This session will focus on a useful infographic and set of decision trees. We will take you through the decision trees using a range of everyday plastic products that have short, medium and long use phases. This will enable you to ask simple questions to help navigate through the sea of choices around minimising the impact of plastic.
Views: 147 DIF Live
Risk and Uncertainty - Decision Trees Part 2 - ACCA Performance Management (PM) *** Complete list of free ACCA lectures is available on OpenTuition.com https://opentuition.com/acca/pm/ *** Free lectures for the ACCA Performance Management (PM) Exam To benefit from this lecture, visit opentuition.com/acca to download the notes used in the lecture and access ALL free resources: ACCA lectures, tests and Ask the ACCA Tutor Forums Please go to opentuition to post questions to ACCA Tutor, we do not provide support on youtube.
Views: 2211 OpenTuition
Financial data analysis is as much a broad area as Finance. You can use it for managing/mitigating different types of financial risk, taking decisions on investment, managing portfolio, valuing assets etc. Below are a few beginner level projects you can try working on. 1- Build a Credit Scorecard Model - Credit scorecards are basically used to assess credit worthiness of customers. Use German Loan data-set (publicly available credit data) to build credit scorecard for customers. The data set has historical data on default status of 1000 customers and the different factors that are possibly correlated with the customer’s chances of defaulting such as salary age, marital status etc. and attributes of the loan contract such as term, APR rate etc. Build a classification model (using techniques like Logistic Regression, LDA, Decision Tree, Random Forest, Boosting, Bagging) to classify good and bad customers (default and non default customers) and use the model to score new customers in future and lend to customers that have a minimum score. Credit scorecards are heavily used in the industry for taking decisions on grating credit, monitoring portfolio, calculating expected loss etc. 2- Build a Stock Price Forecasting Model - These models are used to predict price of a stock or an index for a given time period in future. You can download stock price of any of the publicly listed companies such as Apple, Microsoft, Facebook, Google from Yahoo finance. Such data is known as uni-variate time series data. You can use ARIMA (AR, MA, ARMA, ARIMA) class of models or use Exponential Smoothing models. 3- Portfolio Optimization Problem - Assume you are working as an adviser to a high net worth individual who wants to diversify his 1 million cash in 20 different stocks. How would you advise him? you can find 20 least correlated stocks (that mitigates the risk) using correlation matrix and use optimization algorithms (OR algos) to find out how you would distribute 1million among these 20 different stocks. 4- Segmentation modelling - Financial services are increasingly becoming tailored made. Doing so helps banks in targeting customers in a in a more efficient way. How do banks do so? They use segmentation modelling to cater differently to different segments of customers. You need historical data on customer attributes & data on financial product/services to build a segmentation model. Techniques such as Decision Trees, Clustering are used to build segmentation models. 5- Revenue Forecasting - Revenue forecasting can be done using statistical analysis as well (apart from the conventional accounting practices that companies follow). You can take data for factors affecting revenue of a company or a group of companies for a set of periods of equal interval (monthly, Quarterly, Half year, annual) to build a regression model. make sure you correct for problem of auto-correlation as the data has time series component and the errors are likely to be correlated (that violates assumptions of regression analysis) 6- Pricing Financial Products : You can build models to price financial products such as mortgages, auto loans, credit card transactions etc. (pricing in this case would be charging right interest rate to account for the risk involved, earn profit from the contract and yet be competitive in the market). You can also build models to price forward, future, options, swaps (relatively more complicated though) 7- Prepayment models - Prepayment is a problem in loan contracts for banks. Use loan data to predict customers could potentially prepay. You can build another model in parallel to this to know if a customer prepays, when is he likely to prepay in the life time of the loan (time to prepay). You may also build a model to know how much loss the company would incur if a section of the portfolio of customer prepay in future. 8 - Fraud Model - These models are being used to know if a particular transaction is a fraudulent transaction. Historical data having details of fraud and non-fraud transactions can be used to build a classification model that would predict chances of fraud happening in a transaction. Since we normally have high volume of data, one can try not just relatively simpler models like Logistic Regression or Decision trees but also should try more sophisticated ensemble models. ANalytics Study Pack : http://analyticuniversity.com/ Analytics University on Twitter : https://twitter.com/AnalyticsUniver Analytics University on Facebook : https://www.facebook.com/AnalyticsUniversity
Views: 3963 Analytics University
So you’re working on your SEO and you found a keyword. Is it a good keyword? Will it work for you? Will it end up with sales? In this episode, we walk you through Marmalead’s Keyword Decision Tree and show you 6 steps you can follow to decide if a keyword will work for you.
Views: 2094 Marmalead
Learn how to identify what your consumers want in a product and the best distribution and sales channels to engage with your chosen markets. ↓ More info below. ↓ Take this course free on edX: https://www.edx.org/course/marketing-analytics-products-uc-berkeleyx-busadm466-4x#! ABOUT THIS COURSE In this marketing course, you will learn how to apply advanced concepts such as conjoint analysis and decision tree methodologies to product decisions, as well as learn the best ways to distribute and sell your offerings to consumers. You will also learn how to apply conjoint analysis to identify the product features that your consumers want most. This course is taught by Stephan Sorger who has held leadership roles in marketing and product development at companies such as Oracle, 3Com and NASA. He has also taught for over a decade at UC Berkeley Extension and is the author of two widely adopted marketing textbooks. This course will equip you with the knowledge and skills necessary to immediately see practical benefits in the workplace. Analytics-based marketing is increasingly important in determining a company’s spending and ROI. Many entry-level positions in marketing now require some basic level of knowledge in this rapidly growing field. WHAT YOU'LL LEARN - Product: Conjoint analysis - Product: Decision trees - Distribution: Store location decision model - Sales: Consumer sales process for brick and mortar and ecommerce channels
Views: 1026 edX
Part 4 of 6. In this Video you will learn how to use a Decision Tree to develop an optimal strategy when you are faced with multiple stage decisions and uncertain outcomes at each stage. You can find the full playlist here: http://youtu.be/-T-mY_M2Cx0
Views: 5542 FrontlineSolvers
Smith Industries case study for choosing between manufacturing a new product or buying it from a supplier using Decision Tree Analysis
Views: 52 Mohab Mohamed
This video illustrates the concept of decision tree through a really simple and understandable example. You can buy this material in pdf for $1.50 here: https://gumroad.com/l/lKfe http://bdc9292l69-nnd925h580b7o20.hop.clickbank.net/
Views: 1373 Hun Solver
Vishay’s IR Receiver product portfolio is large and can be confusing when trying to select the best receiver for your application. This video helps to make that selection easy by guiding you through the decision process to identify the preferred through-hole receiver to use.
Views: 8 VishayIntertech
Product Management Event at #ProductCon London about The Art of Making Impossible Product Decisions by HSBC Senior Digital Lead. 👉 Subscribe here: http://bit.ly/2xMQLbS 🕊️ Follow us on Twitter: http://bit.ly/2xAQklN 💙 Like us on Facebook for free event tickets: http://bit.ly/2xPfjkh 📷 Check us out on Instagram: http://bit.ly/2eHmfJp Get the presentation slides here: https://prdct.school/2Uj1Ltf Find out more about us: https://prod.school/2SGESOF 💻 ABOUT US: Product School is the world’s first tech business school. We offer certified Product Management, Coding, Data Analytics, Digital Marketing, UX Design and Product Leadership courses; our instructors are real-world product managers working at top tech companies, such as Google, Facebook, Snapchat, Airbnb, LinkedIn, PayPal and Netflix. Our classes are part-time, designed to fit into your work schedule. Our campuses are online and in 16 cities worldwide, including Silicon Valley, New York, Los Angeles and London. See our upcoming courses here: https://prod.school/2SGESOF In addition to classes, each of our campuses hosts weekly events with top industry professionals about Product Management, Data Analytics, Coding, Digital Marketing, UX Design and Product Leadership. Click here to see what we have coming up: https://prod.school/2SFSLws Product leaders from local top tech companies visit Product School campuses each week. Through lectures, panel discussions, and a variety of other forums, the world’s top product managers visit Product School to provide invaluable real-world insights into critical management issues. 📓 The Product Book has arrived! Learn how to become a great Product Manager. Get your copy here: https://prod.school/2NJBIsM #ProductManagement #ProductSchool #Upskill #TechEducation #Business #ProdMgmt #ProductManager #Product #PM #IT #Management #PMP #ProductDesign #FinTech
Views: 258 Product School San Francisco