Udemy - Bayesian Machine Learning in Python AB Testing (1.2025)

Creation Time	March 26, 2026, 4:09 a.m.
Last Access Time	March 28, 2026, 9:29 a.m.
File Size	1.7 GB
Keywords	1 AB Python Testing - Udemy Machine 2025 Learning in Bayesian
Total Requests	12
Total Files	160
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08. Setting Up Your Environment (FAQ by Student Request)/2. Anaconda Environment Setup.mp4 167.9 MB
08. Setting Up Your Environment (FAQ by Student Request)/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 109.2 MB
10. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 81.2 MB
10. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 67.9 MB
09. Extra Help With Python Coding for Beginners (FAQ by Student Request)/3. Proof that using Jupyter Notebook is the same as not using it.mp4 64.3 MB
09. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. How to Code by Yourself (part 1).mp4 56.1 MB
04. Traditional AB Testing/14. Z-Test Code (pt 1).mp4 51.8 MB
05. Bayesian AB Testing/2. Applications of the Explore-Exploit Dilemma.mp4 47.1 MB
10. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 42.5 MB
07. Practice Makes Perfect/3. The most important quiz of all - Obtaining an infinite amount of practice.mp4 34.0 MB
05. Bayesian AB Testing/19. Thompson Sampling With Gaussian Reward Theory.mp4 33.5 MB
05. Bayesian AB Testing/16. Bayesian Bandits Thompson Sampling Theory (pt 2).mp4 31.7 MB
11. Appendix FAQ Finale/2. BONUS.mp4 28.0 MB
05. Bayesian AB Testing/12. UCB1 Theory.mp4 24.8 MB
05. Bayesian AB Testing/25. (Optional) Alternative Bandit Designs.mp4 24.5 MB
03. Bayes Rule and Probability Review/11. Probability Review in Code.mp4 24.1 MB
05. Bayesian AB Testing/15. Bayesian Bandits Thompson Sampling Theory (pt 1).mp4 23.9 MB
03. Bayes Rule and Probability Review/14. Suggestion Box.mp4 23.3 MB
05. Bayesian AB Testing/20. Thompson Sampling With Gaussian Reward Code.mp4 22.8 MB
04. Traditional AB Testing/15. Z-Test Code (pt 2).mp4 21.3 MB
05. Bayesian AB Testing/7. Epsilon-Greedy in Code.mp4 21.0 MB
05. Bayesian AB Testing/1. Section Introduction The Explore-Exploit Dilemma.mp4 20.9 MB
09. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. How to Code by Yourself (part 2).mp4 20.9 MB
03. Bayes Rule and Probability Review/3. Calculating Probabilities - Practice.mp4 20.6 MB
02. The High-Level Picture/2. What is Bayesian Machine Learning.mp4 20.5 MB
05. Bayesian AB Testing/8. Comparing Different Epsilons.mp4 20.0 MB
04. Traditional AB Testing/6. Confidence Intervals Code.mp4 19.7 MB
04. Traditional AB Testing/17. Classical AB Testing Section Summary.mp4 19.0 MB
04. Traditional AB Testing/9. Hypothesis Testing - The API Approach.mp4 18.8 MB
03. Bayes Rule and Probability Review/6. Maximum Likelihood Estimation - Bernoulli.mp4 18.6 MB
04. Traditional AB Testing/4. Confidence Intervals (pt 4) - Intermediate Level.mp4 18.2 MB
03. Bayes Rule and Probability Review/8. Maximum Likelihood Estimation - Gaussian (pt 1).mp4 17.3 MB
05. Bayesian AB Testing/18. Thompson Sampling Code.mp4 16.9 MB
10. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/1. How to Succeed in this Course (Long Version).mp4 16.8 MB
03. Bayes Rule and Probability Review/10. CDFs and Percentiles.mp4 16.3 MB
04. Traditional AB Testing/5. Confidence Intervals (pt 5) - Intermediate Level.mp4 16.0 MB
06. Bayesian AB Testing Extension/1. More about the Explore-Exploit Dilemma.mp4 16.0 MB
04. Traditional AB Testing/12. Z-Test Theory (pt 1).mp4 15.7 MB
04. Traditional AB Testing/3. Confidence Intervals (pt 3) - Intermediate Level.mp4 15.3 MB
01. Introduction and Outline/2. Where to get the code for this course.mp4 14.9 MB
03. Bayes Rule and Probability Review/13. Beginners Fix Your Understanding of Statistics vs Machine Learning.mp4 14.3 MB
05. Bayesian AB Testing/5. Epsilon-Greedy Beginner's Exercise Prompt.mp4 14.1 MB
03. Bayes Rule and Probability Review/9. Maximum Likelihood Estimation - Gaussian (pt 2).mp4 13.7 MB
04. Traditional AB Testing/7. Hypothesis Testing - Examples.mp4 13.7 MB
05. Bayesian AB Testing/23. Nonstationary Bandits.mp4 13.3 MB
02. The High-Level Picture/1. Real-World Examples of AB Testing.mp4 12.9 MB
04. Traditional AB Testing/13. Z-Test Theory (pt 2).mp4 12.9 MB
05. Bayesian AB Testing/24. Bandit Summary, Real Data, and Online Learning.mp4 12.5 MB
06. Bayesian AB Testing Extension/2. Confidence Interval Approximation vs. Beta Posterior.mp4 12.5 MB
05. Bayesian AB Testing/3. Epsilon-Greedy Theory.mp4 12.3 MB
03. Bayes Rule and Probability Review/5. The Monty Hall Problem.mp4 11.9 MB
07. Practice Makes Perfect/1. Intro to Exercises on Conjugate Priors.mp4 11.5 MB
05. Bayesian AB Testing/22. Why don't we just use a library.mp4 11.4 MB
05. Bayesian AB Testing/6. Designing Your Bandit Program.mp4 11.3 MB
03. Bayes Rule and Probability Review/4. The Gambler.mp4 11.1 MB
05. Bayesian AB Testing/14. UCB1 Code.mp4 10.2 MB
03. Bayes Rule and Probability Review/12. Probability Review Section Summary.mp4 10.2 MB
05. Bayesian AB Testing/17. Thompson Sampling Beginner's Exercise Prompt.mp4 10.2 MB
05. Bayesian AB Testing/11. Optimistic Initial Values Code.mp4 10.2 MB
04. Traditional AB Testing/11. Hypothesis Testing - Further Examples.mp4 10.0 MB
05. Bayesian AB Testing/9. Optimistic Initial Values Theory.mp4 9.9 MB
04. Traditional AB Testing/8. Statistical Significance.mp4 9.9 MB
05. Bayesian AB Testing/4. Calculating a Sample Mean (pt 1).mp4 9.8 MB
08. Setting Up Your Environment (FAQ by Student Request)/1. Pre-Installation Check.mp4 8.9 MB
03. Bayes Rule and Probability Review/2. Probability and Bayes' Rule Review.mp4 8.9 MB
04. Traditional AB Testing/1. Confidence Intervals (pt 1) - Intuition.mp4 8.4 MB
04. Traditional AB Testing/2. Confidence Intervals (pt 2) - Beginner Level.mp4 8.3 MB
06. Bayesian AB Testing Extension/3. Adaptive Ad Server Exercise.mp4 8.2 MB
01. Introduction and Outline/1. What's this course all about.mp4 7.8 MB
09. Extra Help With Python Coding for Beginners (FAQ by Student Request)/4. Python 2 vs Python 3.mp4 7.6 MB
05. Bayesian AB Testing/10. Optimistic Initial Values Beginner's Exercise Prompt.mp4 6.6 MB
04. Traditional AB Testing/16. AB Test Exercise.mp4 6.4 MB
11. Appendix FAQ Finale/1. What is the Appendix.mp4 6.1 MB
05. Bayesian AB Testing/13. UCB1 Beginner's Exercise Prompt.mp4 5.5 MB
04. Traditional AB Testing/10. Hypothesis Testing - Accept Or Reject.mp4 5.1 MB
01. Introduction and Outline/3. How to succeed in this course.mp4 5.0 MB
07. Practice Makes Perfect/2. Exercise Die Roll.mp4 4.4 MB
03. Bayes Rule and Probability Review/7. Click-Through Rates (CTR).mp4 4.0 MB
03. Bayes Rule and Probability Review/1. Review Section Introduction.mp4 2.6 MB
05. Bayesian AB Testing/21. Exercise on Gaussian Rewards.mp4 2.6 MB
10. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt 28.3 KB
10. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2).vtt 20.9 KB
05. Bayesian AB Testing/16. Bayesian Bandits Thompson Sampling Theory (pt 2).vtt 20.7 KB
09. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. How to Code by Yourself (part 1).vtt 20.0 KB
05. Bayesian AB Testing/12. UCB1 Theory.vtt 17.8 KB
08. Setting Up Your Environment (FAQ by Student Request)/2. Anaconda Environment Setup.vtt 17.7 KB
05. Bayesian AB Testing/15. Bayesian Bandits Thompson Sampling Theory (pt 1).vtt 15.1 KB
01. Introduction and Outline/2. Where to get the code for this course.vtt 14.9 KB
10. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1).vtt 14.6 KB
02. The High-Level Picture/2. What is Bayesian Machine Learning.vtt 13.9 KB
04. Traditional AB Testing/14. Z-Test Code (pt 1).vtt 13.9 KB
08. Setting Up Your Environment (FAQ by Student Request)/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.vtt 13.4 KB
05. Bayesian AB Testing/19. Thompson Sampling With Gaussian Reward Theory.vtt 13.3 KB
10. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/1. How to Succeed in this Course (Long Version).vtt 13.1 KB
03. Bayes Rule and Probability Review/6. Maximum Likelihood Estimation - Bernoulli.vtt 12.9 KB
05. Bayesian AB Testing/25. (Optional) Alternative Bandit Designs.vtt 12.9 KB
09. Extra Help With Python Coding for Beginners (FAQ by Student Request)/3. Proof that using Jupyter Notebook is the same as not using it.vtt 12.7 KB
04. Traditional AB Testing/4. Confidence Intervals (pt 4) - Intermediate Level.vtt 12.1 KB
05. Bayesian AB Testing/1. Section Introduction The Explore-Exploit Dilemma.vtt 11.9 KB
09. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. How to Code by Yourself (part 2).vtt 11.7 KB
03. Bayes Rule and Probability Review/3. Calculating Probabilities - Practice.vtt 11.5 KB
04. Traditional AB Testing/17. Classical AB Testing Section Summary.vtt 11.5 KB
03. Bayes Rule and Probability Review/8. Maximum Likelihood Estimation - Gaussian (pt 1).vtt 11.4 KB
04. Traditional AB Testing/3. Confidence Intervals (pt 3) - Intermediate Level.vtt 11.3 KB
03. Bayes Rule and Probability Review/11. Probability Review in Code.vtt 11.3 KB
07. Practice Makes Perfect/3. The most important quiz of all - Obtaining an infinite amount of practice.vtt 10.9 KB
04. Traditional AB Testing/5. Confidence Intervals (pt 5) - Intermediate Level.vtt 10.8 KB
04. Traditional AB Testing/9. Hypothesis Testing - The API Approach.vtt 10.3 KB
03. Bayes Rule and Probability Review/10. CDFs and Percentiles.vtt 10.1 KB
05. Bayesian AB Testing/2. Applications of the Explore-Exploit Dilemma.vtt 9.3 KB
03. Bayes Rule and Probability Review/9. Maximum Likelihood Estimation - Gaussian (pt 2).vtt 9.2 KB
04. Traditional AB Testing/12. Z-Test Theory (pt 1).vtt 9.2 KB
04. Traditional AB Testing/13. Z-Test Theory (pt 2).vtt 9.0 KB
06. Bayesian AB Testing Extension/1. More about the Explore-Exploit Dilemma.vtt 8.8 KB
05. Bayesian AB Testing/23. Nonstationary Bandits.vtt 8.6 KB
04. Traditional AB Testing/7. Hypothesis Testing - Examples.vtt 8.4 KB
02. The High-Level Picture/1. Real-World Examples of AB Testing.vtt 8.4 KB
03. Bayes Rule and Probability Review/5. The Monty Hall Problem.vtt 8.4 KB
05. Bayesian AB Testing/3. Epsilon-Greedy Theory.vtt 8.3 KB
03. Bayes Rule and Probability Review/13. Beginners Fix Your Understanding of Statistics vs Machine Learning.vtt 8.2 KB
05. Bayesian AB Testing/24. Bandit Summary, Real Data, and Online Learning.vtt 7.5 KB
05. Bayesian AB Testing/7. Epsilon-Greedy in Code.vtt 7.5 KB
11. Appendix FAQ Finale/2. BONUS.vtt 7.1 KB
07. Practice Makes Perfect/1. Intro to Exercises on Conjugate Priors.vtt 6.9 KB
05. Bayesian AB Testing/22. Why don't we just use a library.vtt 6.8 KB
05. Bayesian AB Testing/4. Calculating a Sample Mean (pt 1).vtt 6.7 KB
06. Bayesian AB Testing Extension/3. Adaptive Ad Server Exercise.vtt 6.6 KB
05. Bayesian AB Testing/20. Thompson Sampling With Gaussian Reward Code.vtt 6.5 KB
04. Traditional AB Testing/6. Confidence Intervals Code.vtt 6.5 KB
03. Bayes Rule and Probability Review/4. The Gambler.vtt 6.5 KB
03. Bayes Rule and Probability Review/12. Probability Review Section Summary.vtt 6.4 KB
05. Bayesian AB Testing/9. Optimistic Initial Values Theory.vtt 6.4 KB
04. Traditional AB Testing/8. Statistical Significance.vtt 6.2 KB
05. Bayesian AB Testing/8. Comparing Different Epsilons.vtt 5.9 KB
03. Bayes Rule and Probability Review/2. Probability and Bayes' Rule Review.vtt 5.8 KB
04. Traditional AB Testing/15. Z-Test Code (pt 2).vtt 5.7 KB
08. Setting Up Your Environment (FAQ by Student Request)/1. Pre-Installation Check.vtt 5.7 KB
05. Bayesian AB Testing/5. Epsilon-Greedy Beginner's Exercise Prompt.vtt 5.7 KB
04. Traditional AB Testing/11. Hypothesis Testing - Further Examples.vtt 5.7 KB
04. Traditional AB Testing/1. Confidence Intervals (pt 1) - Intuition.vtt 5.5 KB
09. Extra Help With Python Coding for Beginners (FAQ by Student Request)/4. Python 2 vs Python 3.vtt 5.5 KB
01. Introduction and Outline/1. What's this course all about.vtt 5.2 KB
04. Traditional AB Testing/2. Confidence Intervals (pt 2) - Beginner Level.vtt 5.2 KB
05. Bayesian AB Testing/18. Thompson Sampling Code.vtt 5.0 KB
05. Bayesian AB Testing/6. Designing Your Bandit Program.vtt 4.9 KB
04. Traditional AB Testing/16. AB Test Exercise.vtt 4.5 KB
05. Bayesian AB Testing/11. Optimistic Initial Values Code.vtt 4.5 KB
06. Bayesian AB Testing Extension/2. Confidence Interval Approximation vs. Beta Posterior.vtt 4.3 KB
03. Bayes Rule and Probability Review/14. Suggestion Box.vtt 4.1 KB
01. Introduction and Outline/3. How to succeed in this course.vtt 3.9 KB
05. Bayesian AB Testing/14. UCB1 Code.vtt 3.4 KB
11. Appendix FAQ Finale/1. What is the Appendix.vtt 3.3 KB
05. Bayesian AB Testing/17. Thompson Sampling Beginner's Exercise Prompt.vtt 3.1 KB
07. Practice Makes Perfect/2. Exercise Die Roll.vtt 2.9 KB
04. Traditional AB Testing/10. Hypothesis Testing - Accept Or Reject.vtt 2.6 KB
05. Bayesian AB Testing/10. Optimistic Initial Values Beginner's Exercise Prompt.vtt 2.6 KB
05. Bayesian AB Testing/13. UCB1 Beginner's Exercise Prompt.vtt 2.4 KB
03. Bayes Rule and Probability Review/7. Click-Through Rates (CTR).vtt 2.3 KB
03. Bayes Rule and Probability Review/1. Review Section Introduction.vtt 1.5 KB
05. Bayesian AB Testing/21. Exercise on Gaussian Rewards.vtt 1.4 KB

Udemy - Bayesian Machine Learning in Python AB Testing (1.2025)

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