Udemy Bayesian Machine Learning in Python AB Testing 2025 | 8EF7E49C122B6894B1D1E097C6B239368F3F202A

Udemy Bayesian Machine Learning in Python AB Testing 2025

Name	Udemy - Bayesian Machine Learning in Python AB Testing (1.2025)	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	1.8 GB
Total Files	160
Last Seen	2025-09-09 23:34
Hash	8EF7E49C122B6894B1D1E097C6B239368F3F202A

/01. Introduction and Outline/
1. What's this course all about.mp4	8.2 MB
1. What's this course all about.vtt	5.4 KB
2. Where to get the code for this course.mp4	15.7 MB
2. Where to get the code for this course.vtt	15.2 KB
3. How to succeed in this course.mp4	5.3 MB
3. How to succeed in this course.vtt	4.0 KB
/02. The High-Level Picture/
1. Real-World Examples of AB Testing.mp4	13.5 MB
1. Real-World Examples of AB Testing.vtt	8.6 KB
2. What is Bayesian Machine Learning.mp4	21.5 MB
2. What is Bayesian Machine Learning.vtt	14.2 KB
/03. Bayes Rule and Probability Review/
1. Review Section Introduction.mp4	2.7 MB
1. Review Section Introduction.vtt	1.6 KB
10. CDFs and Percentiles.mp4	17.1 MB
10. CDFs and Percentiles.vtt	10.3 KB
11. Probability Review in Code.mp4	25.3 MB
11. Probability Review in Code.vtt	11.5 KB
12. Probability Review Section Summary.mp4	10.7 MB
12. Probability Review Section Summary.vtt	6.5 KB
13. Beginners Fix Your Understanding of Statistics vs Machine Learning.mp4	15.0 MB
13. Beginners Fix Your Understanding of Statistics vs Machine Learning.vtt	8.4 KB
14. Suggestion Box.mp4	24.4 MB
14. Suggestion Box.vtt	4.2 KB
2. Probability and Bayes' Rule Review.mp4	9.3 MB
2. Probability and Bayes' Rule Review.vtt	6.0 KB
3. Calculating Probabilities - Practice.mp4	21.6 MB
3. Calculating Probabilities - Practice.vtt	11.8 KB
4. The Gambler.mp4	11.7 MB
4. The Gambler.vtt	6.6 KB
5. The Monty Hall Problem.mp4	12.5 MB
5. The Monty Hall Problem.vtt	8.6 KB
6. Maximum Likelihood Estimation - Bernoulli.mp4	19.5 MB
6. Maximum Likelihood Estimation - Bernoulli.vtt	13.2 KB
7. Click-Through Rates (CTR).mp4	4.2 MB
7. Click-Through Rates (CTR).vtt	2.3 KB
8. Maximum Likelihood Estimation - Gaussian (pt 1).mp4	18.1 MB
8. Maximum Likelihood Estimation - Gaussian (pt 1).vtt	11.7 KB
9. Maximum Likelihood Estimation - Gaussian (pt 2).mp4	14.4 MB
9. Maximum Likelihood Estimation - Gaussian (pt 2).vtt	9.5 KB
/04. Traditional AB Testing/
1. Confidence Intervals (pt 1) - Intuition.mp4	8.8 MB
1. Confidence Intervals (pt 1) - Intuition.vtt	5.6 KB
10. Hypothesis Testing - Accept Or Reject.mp4	5.4 MB
10. Hypothesis Testing - Accept Or Reject.vtt	2.7 KB
11. Hypothesis Testing - Further Examples.mp4	10.5 MB
11. Hypothesis Testing - Further Examples.vtt	5.8 KB
12. Z-Test Theory (pt 1).mp4	16.4 MB
12. Z-Test Theory (pt 1).vtt	9.4 KB
13. Z-Test Theory (pt 2).mp4	13.5 MB
13. Z-Test Theory (pt 2).vtt	9.2 KB
14. Z-Test Code (pt 1).mp4	54.3 MB
14. Z-Test Code (pt 1).vtt	14.2 KB
15. Z-Test Code (pt 2).mp4	22.3 MB
15. Z-Test Code (pt 2).vtt	5.9 KB
16. AB Test Exercise.mp4	6.7 MB
16. AB Test Exercise.vtt	4.7 KB
17. Classical AB Testing Section Summary.mp4	20.0 MB
17. Classical AB Testing Section Summary.vtt	11.7 KB
2. Confidence Intervals (pt 2) - Beginner Level.mp4	8.7 MB
2. Confidence Intervals (pt 2) - Beginner Level.vtt	5.3 KB
3. Confidence Intervals (pt 3) - Intermediate Level.mp4	16.0 MB
3. Confidence Intervals (pt 3) - Intermediate Level.vtt	11.6 KB
4. Confidence Intervals (pt 4) - Intermediate Level.mp4	19.1 MB
4. Confidence Intervals (pt 4) - Intermediate Level.vtt	12.4 KB
5. Confidence Intervals (pt 5) - Intermediate Level.mp4	16.8 MB
5. Confidence Intervals (pt 5) - Intermediate Level.vtt	11.0 KB
6. Confidence Intervals Code.mp4	20.7 MB
6. Confidence Intervals Code.vtt	6.7 KB
7. Hypothesis Testing - Examples.mp4	14.4 MB
7. Hypothesis Testing - Examples.vtt	8.6 KB
8. Statistical Significance.mp4	10.3 MB
8. Statistical Significance.vtt	6.3 KB
9. Hypothesis Testing - The API Approach.mp4	19.7 MB
9. Hypothesis Testing - The API Approach.vtt	10.5 KB
/05. Bayesian AB Testing/
1. Section Introduction The Explore-Exploit Dilemma.mp4	21.9 MB
1. Section Introduction The Explore-Exploit Dilemma.vtt	12.2 KB
10. Optimistic Initial Values Beginner's Exercise Prompt.mp4	6.9 MB
10. Optimistic Initial Values Beginner's Exercise Prompt.vtt	2.7 KB
11. Optimistic Initial Values Code.mp4	10.6 MB
11. Optimistic Initial Values Code.vtt	4.6 KB
12. UCB1 Theory.mp4	26.0 MB
12. UCB1 Theory.vtt	18.2 KB
13. UCB1 Beginner's Exercise Prompt.mp4	5.7 MB
13. UCB1 Beginner's Exercise Prompt.vtt	2.5 KB
14. UCB1 Code.mp4	10.7 MB
14. UCB1 Code.vtt	3.5 KB
15. Bayesian Bandits Thompson Sampling Theory (pt 1).mp4	25.1 MB
15. Bayesian Bandits Thompson Sampling Theory (pt 1).vtt	15.5 KB
16. Bayesian Bandits Thompson Sampling Theory (pt 2).mp4	33.2 MB
16. Bayesian Bandits Thompson Sampling Theory (pt 2).vtt	21.2 KB
17. Thompson Sampling Beginner's Exercise Prompt.mp4	10.7 MB
17. Thompson Sampling Beginner's Exercise Prompt.vtt	3.1 KB
18. Thompson Sampling Code.mp4	17.7 MB
18. Thompson Sampling Code.vtt	5.2 KB
19. Thompson Sampling With Gaussian Reward Theory.mp4	35.1 MB
19. Thompson Sampling With Gaussian Reward Theory.vtt	13.7 KB
2. Applications of the Explore-Exploit Dilemma.mp4	49.3 MB
2. Applications of the Explore-Exploit Dilemma.vtt	9.6 KB
20. Thompson Sampling With Gaussian Reward Code.mp4	23.9 MB
20. Thompson Sampling With Gaussian Reward Code.vtt	6.7 KB
21. Exercise on Gaussian Rewards.mp4	2.7 MB
21. Exercise on Gaussian Rewards.vtt	1.4 KB
22. Why don't we just use a library.mp4	11.9 MB
22. Why don't we just use a library.vtt	7.0 KB
23. Nonstationary Bandits.mp4	14.0 MB
23. Nonstationary Bandits.vtt	8.9 KB
24. Bandit Summary, Real Data, and Online Learning.mp4	13.1 MB
24. Bandit Summary, Real Data, and Online Learning.vtt	7.7 KB
25. (Optional) Alternative Bandit Designs.mp4	25.7 MB
25. (Optional) Alternative Bandit Designs.vtt	13.2 KB
3. Epsilon-Greedy Theory.mp4	12.9 MB
3. Epsilon-Greedy Theory.vtt	8.5 KB
4. Calculating a Sample Mean (pt 1).mp4	10.3 MB
4. Calculating a Sample Mean (pt 1).vtt	6.9 KB
5. Epsilon-Greedy Beginner's Exercise Prompt.mp4	14.8 MB
5. Epsilon-Greedy Beginner's Exercise Prompt.vtt	5.8 KB
6. Designing Your Bandit Program.mp4	11.8 MB
6. Designing Your Bandit Program.vtt	5.0 KB
7. Epsilon-Greedy in Code.mp4	22.0 MB
7. Epsilon-Greedy in Code.vtt	7.6 KB
8. Comparing Different Epsilons.mp4	21.0 MB
8. Comparing Different Epsilons.vtt	6.0 KB
9. Optimistic Initial Values Theory.mp4	10.4 MB
9. Optimistic Initial Values Theory.vtt	6.5 KB
/06. Bayesian AB Testing Extension/
1. More about the Explore-Exploit Dilemma.mp4	16.7 MB
1. More about the Explore-Exploit Dilemma.vtt	9.0 KB
2. Confidence Interval Approximation vs. Beta Posterior.mp4	13.1 MB
2. Confidence Interval Approximation vs. Beta Posterior.vtt	4.4 KB
3. Adaptive Ad Server Exercise.mp4	8.6 MB
3. Adaptive Ad Server Exercise.vtt	6.8 KB
/07. Practice Makes Perfect/
1. Intro to Exercises on Conjugate Priors.mp4	12.0 MB
1. Intro to Exercises on Conjugate Priors.vtt	7.1 KB
2. Exercise Die Roll.mp4	4.6 MB
2. Exercise Die Roll.vtt	2.9 KB
3. The most important quiz of all - Obtaining an infinite amount of practice.mp4	35.7 MB
3. The most important quiz of all - Obtaining an infinite amount of practice.vtt	11.2 KB
/08. Setting Up Your Environment (FAQ by Student Request)/
1. Pre-Installation Check.mp4	9.4 MB
1. Pre-Installation Check.vtt	5.9 KB
2. Anaconda Environment Setup.mp4	176.1 MB
2. Anaconda Environment Setup.vtt	18.1 KB
3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4	114.5 MB
3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.vtt	13.7 KB
/09. Extra Help With Python Coding for Beginners (FAQ by Student Request)/
1. How to Code by Yourself (part 1).mp4	58.8 MB
1. How to Code by Yourself (part 1).vtt	20.5 KB
2. How to Code by Yourself (part 2).mp4	21.9 MB
2. How to Code by Yourself (part 2).vtt	12.0 KB
3. Proof that using Jupyter Notebook is the same as not using it.mp4	67.5 MB
3. Proof that using Jupyter Notebook is the same as not using it.vtt	13.0 KB
4. Python 2 vs Python 3.mp4	8.0 MB
4. Python 2 vs Python 3.vtt	5.6 KB
/10. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/
1. How to Succeed in this Course (Long Version).mp4	17.6 MB
1. How to Succeed in this Course (Long Version).vtt	13.4 KB
2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4	44.5 MB
2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt	29.0 KB
3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4	71.2 MB
3. Machine Learning and AI Prerequisite Roadmap (pt 1).vtt	15.0 KB
4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4	85.2 MB
4. Machine Learning and AI Prerequisite Roadmap (pt 2).vtt	21.4 KB
/11. Appendix FAQ Finale/
1. What is the Appendix.mp4	6.4 MB
1. What is the Appendix.vtt	3.4 KB
2. BONUS.mp4	29.4 MB
2. BONUS.vtt	7.3 KB
Total files 160