Udemy - Bayesian Machine Learning in Python: A/B Testing [Giga Course]

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Udemy - Bayesian Machine Learning in Python: A/B Testing [Giga Course] (Size: 2.6 GB)
  001 What's this course all about_.en.srt 6.2 KB
  001 What's this course all about_.mp4 29.3 MB
  002 Where to get the code for this course.en.srt 7.8 KB
  002 Where to get the code for this course.mp4 30.4 MB
  003 How to succeed in this course.en.srt 8.6 KB
  003 How to succeed in this course.mp4 43.8 MB
  004 Real-World Examples of A_B Testing.en.srt 9.9 KB
  004 Real-World Examples of A_B Testing.mp4 38.5 MB
  005 What is Bayesian Machine Learning_.en.srt 16 KB
  005 What is Bayesian Machine Learning_.mp4 54.7 MB
  006 Review Section Introduction.en.srt 1.7 KB
  006 Review Section Introduction.mp4 6.4 MB
  007 Probability and Bayes' Rule Review.en.srt 6.9 KB
  007 Probability and Bayes' Rule Review.mp4 21.8 MB
  008 Calculating Probabilities - Practice.en.srt 14.4 KB
  008 Calculating Probabilities - Practice.mp4 41.7 MB
  009 The Gambler.en.srt 8 KB
  009 The Gambler.mp4 27.3 MB
  010 The Monty Hall Problem.en.srt 10.6 KB
  010 The Monty Hall Problem.mp4 28.1 MB
  011 Maximum Likelihood Estimation - Bernoulli.en.srt 15.2 KB
  011 Maximum Likelihood Estimation - Bernoulli.mp4 43.8 MB
  012 Click-Through Rates (CTR).en.srt 2.8 KB
  012 Click-Through Rates (CTR).mp4 9.5 MB
  013 Maximum Likelihood Estimation - Gaussian (pt 1).en.srt 13.4 KB
  013 Maximum Likelihood Estimation - Gaussian (pt 1).mp4 40.8 MB
  014 Maximum Likelihood Estimation - Gaussian (pt 2).en.srt 10.7 KB
  014 Maximum Likelihood Estimation - Gaussian (pt 2).mp4 32 MB
  015 CDFs and Percentiles.en.srt 11.8 KB
  015 CDFs and Percentiles.mp4 38.3 MB
  016 Probability Review in Code.en.srt 12.8 KB
  016 Probability Review in Code.mp4 54.3 MB
  017 Probability Review Section Summary.en.srt 7.6 KB
  017 Probability Review Section Summary.mp4 24.6 MB
  018 Beginners_ Fix Your Understanding of Statistics vs Machine Learning.en.srt 9.6 KB
  018 Beginners_ Fix Your Understanding of Statistics vs Machine Learning.mp4 37 MB
  019 Suggestion Box.en.srt 4.9 KB
  019 Suggestion Box.mp4 16.1 MB
  020 Confidence Intervals (pt 1) - Intuition.en.srt 6.8 KB
  020 Confidence Intervals (pt 1) - Intuition.mp4 22.7 MB
  021 Confidence Intervals (pt 2) - Beginner Level.en.srt 6 KB
  021 Confidence Intervals (pt 2) - Beginner Level.mp4 19.3 MB
  022 Confidence Intervals (pt 3) - Intermediate Level.en.srt 13.1 KB
  022 Confidence Intervals (pt 3) - Intermediate Level.mp4 34.9 MB
  023 Confidence Intervals (pt 4) - Intermediate Level.en.srt 14.6 KB
  023 Confidence Intervals (pt 4) - Intermediate Level.mp4 42.6 MB
  024 Confidence Intervals (pt 5) - Intermediate Level.en.srt 13.3 KB
  024 Confidence Intervals (pt 5) - Intermediate Level.mp4 36.6 MB
  025 Confidence Intervals Code.en.srt 7.8 KB
  025 Confidence Intervals Code.mp4 33.2 MB
  026 Hypothesis Testing - Examples.en.srt 9.8 KB
  026 Hypothesis Testing - Examples.mp4 32.6 MB
  027 Statistical Significance.en.srt 7.2 KB
  027 Statistical Significance.mp4 24.2 MB
  028 Hypothesis Testing - The API Approach.en.srt 12.2 KB
  028 Hypothesis Testing - The API Approach.mp4 48.2 MB
  029 Hypothesis Testing - Accept Or Reject_.en.srt 3 KB
  029 Hypothesis Testing - Accept Or Reject_.mp4 13.3 MB
  030 Hypothesis Testing - Further Examples.en.srt 6.5 KB
  030 Hypothesis Testing - Further Examples.mp4 25 MB
  031 Z-Test Theory (pt 1).en.srt 10.7 KB
  031 Z-Test Theory (pt 1).mp4 36.3 MB
  032 Z-Test Theory (pt 2).en.srt 10.4 KB
  032 Z-Test Theory (pt 2).mp4 30.4 MB
  033 Z-Test Code (pt 1).en.srt 16.2 KB
  033 Z-Test Code (pt 1).mp4 67.9 MB
  034 Z-Test Code (pt 2).en.srt 6.7 KB
  034 Z-Test Code (pt 2).mp4 28.9 MB
  035 A_B Test Exercise.en.srt 5.3 KB
  035 A_B Test Exercise.mp4 15.7 MB
  036 Classical A_B Testing Section Summary.en.srt 13.2 KB
  036 Classical A_B Testing Section Summary.mp4 46.3 MB
  037 Section Introduction_ The Explore-Exploit Dilemma.en.srt 14.3 KB
  037 Section Introduction_ The Explore-Exploit Dilemma.mp4 52.2 MB
  038 Applications of the Explore-Exploit Dilemma.en.srt 10.8 KB
  038 Applications of the Explore-Exploit Dilemma.mp4 47.1 MB
  039 Epsilon-Greedy Theory.en.srt 9.7 KB
  039 Epsilon-Greedy Theory.mp4 28.6 MB
  040 Calculating a Sample Mean (pt 1).en.srt 7.6 KB
  040 Calculating a Sample Mean (pt 1).mp4 23.4 MB
  041 Epsilon-Greedy Beginner's Exercise Prompt.en.srt 6.6 KB
  041 Epsilon-Greedy Beginner's Exercise Prompt.mp4 29 MB
  042 Designing Your Bandit Program.en.srt 5.7 KB
  042 Designing Your Bandit Program.mp4 23.3 MB
  043 Epsilon-Greedy in Code.en.srt 8.8 KB
  043 Epsilon-Greedy in Code.mp4 41.7 MB
  044 Comparing Different Epsilons.en.srt 7.1 KB
  044 Comparing Different Epsilons.mp4 43.9 MB
  045 Optimistic Initial Values Theory.en.srt 7.4 KB
  045 Optimistic Initial Values Theory.mp4 23.9 MB
  046 Optimistic Initial Values Beginner's Exercise Prompt.en.srt 3 KB
  046 Optimistic Initial Values Beginner's Exercise Prompt.mp4 14.1 MB
  047 Optimistic Initial Values Code.en.srt 5.5 KB
  047 Optimistic Initial Values Code.mp4 24.9 MB
  048 UCB1 Theory.en.srt 20.7 KB
  048 UCB1 Theory.mp4 55.8 MB
  049 UCB1 Beginner's Exercise Prompt.en.srt 2.8 KB
  049 UCB1 Beginner's Exercise Prompt.mp4 13 MB
  050 UCB1 Code.en.srt 3.8 KB
  050 UCB1 Code.mp4 20.9 MB
  051 Bayesian Bandits _ Thompson Sampling Theory (pt 1).en.srt 17.6 KB
  051 Bayesian Bandits _ Thompson Sampling Theory (pt 1).mp4 56.2 MB
  052 Bayesian Bandits _ Thompson Sampling Theory (pt 2).en.srt 24.8 KB
  052 Bayesian Bandits _ Thompson Sampling Theory (pt 2).mp4 74.8 MB
  053 Thompson Sampling Beginner's Exercise Prompt.en.srt 3.6 KB
  053 Thompson Sampling Beginner's Exercise Prompt.mp4 18.2 MB
  054 Thompson Sampling Code.en.srt 5.8 KB
  054 Thompson Sampling Code.mp4 33.2 MB
  055 Thompson Sampling With Gaussian Reward Theory.en.srt 15.6 KB
  055 Thompson Sampling With Gaussian Reward Theory.mp4 46.9 MB
  056 Thompson Sampling With Gaussian Reward Code.en.srt 7.5 KB
  056 Thompson Sampling With Gaussian Reward Code.mp4 43.7 MB
  057 Why don't we just use a library_.en.srt 8 KB
  057 Why don't we just use a library_.mp4 27.7 MB
  058 Nonstationary Bandits.en.srt 10 KB
  058 Nonstationary Bandits.mp4 31.3 MB
  059 Bandit Summary, Real Data, and Online Learning.en.srt 8.6 KB
  059 Bandit Summary, Real Data, and Online Learning.mp4 32.7 MB
  060 (Optional) Alternative Bandit Designs.en.srt 15.2 KB
  060 (Optional) Alternative Bandit Designs.mp4 52 MB
  061 More about the Explore-Exploit Dilemma.en.srt 10.3 KB
  061 More about the Explore-Exploit Dilemma.mp4 43.7 MB
  062 Confidence Interval Approximation vs. Beta Posterior.en.srt 4.9 KB
  062 Confidence Interval Approximation vs. Beta Posterior.mp4 11.6 MB
  063 Adaptive Ad Server Exercise.en.srt 7.9 KB
  063 Adaptive Ad Server Exercise.mp4 9.5 MB
  064 Intro to Exercises on Conjugate Priors.en.srt 8.1 KB
  064 Intro to Exercises on Conjugate Priors.mp4 27.6 MB
  065 Exercise_ Die Roll.en.srt 3.3 KB
  065 Exercise_ Die Roll.mp4 4 MB
  066 The most important quiz of all - Obtaining an infinite amount of practice.en.srt 13 KB
  066 The most important quiz of all - Obtaining an infinite amount of practice.mp4 47.1 MB
  067 Windows-Focused Environment Setup 2018.en.srt 20.9 KB
  067 Windows-Focused Environment Setup 2018.mp4 186.4 MB
  068 How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.en.srt 15.1 KB
  068 How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 43.9 MB
  069 How to Code by Yourself (part 1).en.srt 23.6 KB
  069 How to Code by Yourself (part 1).mp4 24.5 MB
  070 How to Code by Yourself (part 2).en.srt 13.8 KB
  070 How to Code by Yourself (part 2).mp4 14.8 MB
  071 Proof that using Jupyter Notebook is the same as not using it.en.srt 14.7 KB
  071 Proof that using Jupyter Notebook is the same as not using it.mp4 78.3 MB
  072 Python 2 vs Python 3.en.srt 6.3 KB
  072 Python 2 vs Python 3.mp4 7.8 MB
  073 How to Succeed in this Course (Long Version).en.srt 15.2 KB
  073 How to Succeed in this Course (Long Version).mp4 12.6 MB
  074 Is this for Beginners or Experts_ Academic or Practical_ Fast or slow-paced_.en.srt 33 KB
  074 Is this for Beginners or Experts_ Academic or Practical_ Fast or slow-paced_.mp4 39 MB
  075 Machine Learning and AI Prerequisite Roadmap (pt 1).en.srt 16.6 KB
  075 Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 29.3 MB
  076 Machine Learning and AI Prerequisite Roadmap (pt 2).en.srt 23.9 KB
  076 Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 37.6 MB
  077 What is the Appendix_.en.srt 3.9 KB
  077 What is the Appendix_.mp4 5.5 MB
  078 BONUS_ Where to get Udemy coupons and FREE deep learning material.en.srt 8.2 KB
  078 BONUS_ Where to get Udemy coupons and FREE deep learning material.mp4 37.8 MB
  [CourseClub.Me].url 102.4 B
  [GigaCourse.Com].url 0 B
  external-assets-links.txt 102.4 B
  ▲ 173 total files

Description


Bayesian Machine Learning in Python: A/B Testing

Data Science, Machine Learning, and Data Analytics Techniques for Marketing, Digital Media, Online Advertising, and More

Created by Lazy Programmer Inc.
Last updated 5/2022
English
English [Auto-generated]


For More Udemy Courses Visit: https://gigacourse.com
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