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Udemy - Bayesian Machine Learning in Python AB Testing (1.2025)
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Udemy - Bayesian Machine Learning in Python AB Testing (1.2025)
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收录时间:
2025-07-04
最近下载:
2025-07-23
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文件列表
08. Setting Up Your Environment (FAQ by Student Request)/2. Anaconda Environment Setup.mp4
176.1 MB
08. Setting Up Your Environment (FAQ by Student Request)/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4
114.5 MB
10. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4
85.2 MB
10. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4
71.2 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
67.5 MB
09. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. How to Code by Yourself (part 1).mp4
58.8 MB
04. Traditional AB Testing/14. Z-Test Code (pt 1).mp4
54.3 MB
05. Bayesian AB Testing/2. Applications of the Explore-Exploit Dilemma.mp4
49.3 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
44.5 MB
07. Practice Makes Perfect/3. The most important quiz of all - Obtaining an infinite amount of practice.mp4
35.7 MB
05. Bayesian AB Testing/19. Thompson Sampling With Gaussian Reward Theory.mp4
35.1 MB
05. Bayesian AB Testing/16. Bayesian Bandits Thompson Sampling Theory (pt 2).mp4
33.2 MB
11. Appendix FAQ Finale/2. BONUS.mp4
29.4 MB
05. Bayesian AB Testing/12. UCB1 Theory.mp4
26.0 MB
05. Bayesian AB Testing/25. (Optional) Alternative Bandit Designs.mp4
25.7 MB
03. Bayes Rule and Probability Review/11. Probability Review in Code.mp4
25.3 MB
05. Bayesian AB Testing/15. Bayesian Bandits Thompson Sampling Theory (pt 1).mp4
25.1 MB
03. Bayes Rule and Probability Review/14. Suggestion Box.mp4
24.4 MB
05. Bayesian AB Testing/20. Thompson Sampling With Gaussian Reward Code.mp4
23.9 MB
04. Traditional AB Testing/15. Z-Test Code (pt 2).mp4
22.3 MB
05. Bayesian AB Testing/7. Epsilon-Greedy in Code.mp4
22.0 MB
05. Bayesian AB Testing/1. Section Introduction The Explore-Exploit Dilemma.mp4
21.9 MB
09. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. How to Code by Yourself (part 2).mp4
21.9 MB
03. Bayes Rule and Probability Review/3. Calculating Probabilities - Practice.mp4
21.6 MB
02. The High-Level Picture/2. What is Bayesian Machine Learning.mp4
21.5 MB
05. Bayesian AB Testing/8. Comparing Different Epsilons.mp4
21.0 MB
04. Traditional AB Testing/6. Confidence Intervals Code.mp4
20.7 MB
04. Traditional AB Testing/17. Classical AB Testing Section Summary.mp4
20.0 MB
04. Traditional AB Testing/9. Hypothesis Testing - The API Approach.mp4
19.7 MB
03. Bayes Rule and Probability Review/6. Maximum Likelihood Estimation - Bernoulli.mp4
19.5 MB
04. Traditional AB Testing/4. Confidence Intervals (pt 4) - Intermediate Level.mp4
19.1 MB
03. Bayes Rule and Probability Review/8. Maximum Likelihood Estimation - Gaussian (pt 1).mp4
18.1 MB
05. Bayesian AB Testing/18. Thompson Sampling Code.mp4
17.7 MB
10. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/1. How to Succeed in this Course (Long Version).mp4
17.6 MB
03. Bayes Rule and Probability Review/10. CDFs and Percentiles.mp4
17.1 MB
04. Traditional AB Testing/5. Confidence Intervals (pt 5) - Intermediate Level.mp4
16.8 MB
06. Bayesian AB Testing Extension/1. More about the Explore-Exploit Dilemma.mp4
16.7 MB
04. Traditional AB Testing/12. Z-Test Theory (pt 1).mp4
16.4 MB
04. Traditional AB Testing/3. Confidence Intervals (pt 3) - Intermediate Level.mp4
16.0 MB
01. Introduction and Outline/2. Where to get the code for this course.mp4
15.7 MB
03. Bayes Rule and Probability Review/13. Beginners Fix Your Understanding of Statistics vs Machine Learning.mp4
15.0 MB
05. Bayesian AB Testing/5. Epsilon-Greedy Beginner's Exercise Prompt.mp4
14.8 MB
03. Bayes Rule and Probability Review/9. Maximum Likelihood Estimation - Gaussian (pt 2).mp4
14.4 MB
04. Traditional AB Testing/7. Hypothesis Testing - Examples.mp4
14.4 MB
05. Bayesian AB Testing/23. Nonstationary Bandits.mp4
14.0 MB
02. The High-Level Picture/1. Real-World Examples of AB Testing.mp4
13.5 MB
04. Traditional AB Testing/13. Z-Test Theory (pt 2).mp4
13.5 MB
05. Bayesian AB Testing/24. Bandit Summary, Real Data, and Online Learning.mp4
13.1 MB
06. Bayesian AB Testing Extension/2. Confidence Interval Approximation vs. Beta Posterior.mp4
13.1 MB
05. Bayesian AB Testing/3. Epsilon-Greedy Theory.mp4
12.9 MB
03. Bayes Rule and Probability Review/5. The Monty Hall Problem.mp4
12.5 MB
07. Practice Makes Perfect/1. Intro to Exercises on Conjugate Priors.mp4
12.0 MB
05. Bayesian AB Testing/22. Why don't we just use a library.mp4
11.9 MB
05. Bayesian AB Testing/6. Designing Your Bandit Program.mp4
11.8 MB
03. Bayes Rule and Probability Review/4. The Gambler.mp4
11.7 MB
05. Bayesian AB Testing/14. UCB1 Code.mp4
10.7 MB
03. Bayes Rule and Probability Review/12. Probability Review Section Summary.mp4
10.7 MB
05. Bayesian AB Testing/17. Thompson Sampling Beginner's Exercise Prompt.mp4
10.7 MB
05. Bayesian AB Testing/11. Optimistic Initial Values Code.mp4
10.6 MB
04. Traditional AB Testing/11. Hypothesis Testing - Further Examples.mp4
10.5 MB
05. Bayesian AB Testing/9. Optimistic Initial Values Theory.mp4
10.4 MB
04. Traditional AB Testing/8. Statistical Significance.mp4
10.3 MB
05. Bayesian AB Testing/4. Calculating a Sample Mean (pt 1).mp4
10.3 MB
08. Setting Up Your Environment (FAQ by Student Request)/1. Pre-Installation Check.mp4
9.4 MB
03. Bayes Rule and Probability Review/2. Probability and Bayes' Rule Review.mp4
9.3 MB
04. Traditional AB Testing/1. Confidence Intervals (pt 1) - Intuition.mp4
8.8 MB
04. Traditional AB Testing/2. Confidence Intervals (pt 2) - Beginner Level.mp4
8.7 MB
06. Bayesian AB Testing Extension/3. Adaptive Ad Server Exercise.mp4
8.6 MB
01. Introduction and Outline/1. What's this course all about.mp4
8.2 MB
09. Extra Help With Python Coding for Beginners (FAQ by Student Request)/4. Python 2 vs Python 3.mp4
8.0 MB
05. Bayesian AB Testing/10. Optimistic Initial Values Beginner's Exercise Prompt.mp4
6.9 MB
04. Traditional AB Testing/16. AB Test Exercise.mp4
6.7 MB
11. Appendix FAQ Finale/1. What is the Appendix.mp4
6.4 MB
05. Bayesian AB Testing/13. UCB1 Beginner's Exercise Prompt.mp4
5.7 MB
04. Traditional AB Testing/10. Hypothesis Testing - Accept Or Reject.mp4
5.4 MB
01. Introduction and Outline/3. How to succeed in this course.mp4
5.3 MB
07. Practice Makes Perfect/2. Exercise Die Roll.mp4
4.6 MB
03. Bayes Rule and Probability Review/7. Click-Through Rates (CTR).mp4
4.2 MB
03. Bayes Rule and Probability Review/1. Review Section Introduction.mp4
2.7 MB
05. Bayesian AB Testing/21. Exercise on Gaussian Rewards.mp4
2.7 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
29.0 kB
10. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2).vtt
21.4 kB
05. Bayesian AB Testing/16. Bayesian Bandits Thompson Sampling Theory (pt 2).vtt
21.2 kB
09. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. How to Code by Yourself (part 1).vtt
20.5 kB
05. Bayesian AB Testing/12. UCB1 Theory.vtt
18.2 kB
08. Setting Up Your Environment (FAQ by Student Request)/2. Anaconda Environment Setup.vtt
18.1 kB
05. Bayesian AB Testing/15. Bayesian Bandits Thompson Sampling Theory (pt 1).vtt
15.5 kB
01. Introduction and Outline/2. Where to get the code for this course.vtt
15.2 kB
10. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1).vtt
15.0 kB
02. The High-Level Picture/2. What is Bayesian Machine Learning.vtt
14.2 kB
04. Traditional AB Testing/14. Z-Test Code (pt 1).vtt
14.2 kB
08. Setting Up Your Environment (FAQ by Student Request)/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.vtt
13.7 kB
05. Bayesian AB Testing/19. Thompson Sampling With Gaussian Reward Theory.vtt
13.7 kB
10. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/1. How to Succeed in this Course (Long Version).vtt
13.4 kB
03. Bayes Rule and Probability Review/6. Maximum Likelihood Estimation - Bernoulli.vtt
13.2 kB
05. Bayesian AB Testing/25. (Optional) Alternative Bandit Designs.vtt
13.2 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
13.0 kB
04. Traditional AB Testing/4. Confidence Intervals (pt 4) - Intermediate Level.vtt
12.4 kB
05. Bayesian AB Testing/1. Section Introduction The Explore-Exploit Dilemma.vtt
12.2 kB
09. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. How to Code by Yourself (part 2).vtt
12.0 kB
03. Bayes Rule and Probability Review/3. Calculating Probabilities - Practice.vtt
11.8 kB
04. Traditional AB Testing/17. Classical AB Testing Section Summary.vtt
11.7 kB
03. Bayes Rule and Probability Review/8. Maximum Likelihood Estimation - Gaussian (pt 1).vtt
11.7 kB
04. Traditional AB Testing/3. Confidence Intervals (pt 3) - Intermediate Level.vtt
11.6 kB
03. Bayes Rule and Probability Review/11. Probability Review in Code.vtt
11.5 kB
07. Practice Makes Perfect/3. The most important quiz of all - Obtaining an infinite amount of practice.vtt
11.2 kB
04. Traditional AB Testing/5. Confidence Intervals (pt 5) - Intermediate Level.vtt
11.0 kB
04. Traditional AB Testing/9. Hypothesis Testing - The API Approach.vtt
10.5 kB
03. Bayes Rule and Probability Review/10. CDFs and Percentiles.vtt
10.3 kB
05. Bayesian AB Testing/2. Applications of the Explore-Exploit Dilemma.vtt
9.6 kB
03. Bayes Rule and Probability Review/9. Maximum Likelihood Estimation - Gaussian (pt 2).vtt
9.5 kB
04. Traditional AB Testing/12. Z-Test Theory (pt 1).vtt
9.4 kB
04. Traditional AB Testing/13. Z-Test Theory (pt 2).vtt
9.2 kB
06. Bayesian AB Testing Extension/1. More about the Explore-Exploit Dilemma.vtt
9.0 kB
05. Bayesian AB Testing/23. Nonstationary Bandits.vtt
8.9 kB
04. Traditional AB Testing/7. Hypothesis Testing - Examples.vtt
8.6 kB
02. The High-Level Picture/1. Real-World Examples of AB Testing.vtt
8.6 kB
03. Bayes Rule and Probability Review/5. The Monty Hall Problem.vtt
8.6 kB
05. Bayesian AB Testing/3. Epsilon-Greedy Theory.vtt
8.5 kB
03. Bayes Rule and Probability Review/13. Beginners Fix Your Understanding of Statistics vs Machine Learning.vtt
8.4 kB
05. Bayesian AB Testing/24. Bandit Summary, Real Data, and Online Learning.vtt
7.7 kB
05. Bayesian AB Testing/7. Epsilon-Greedy in Code.vtt
7.6 kB
11. Appendix FAQ Finale/2. BONUS.vtt
7.3 kB
07. Practice Makes Perfect/1. Intro to Exercises on Conjugate Priors.vtt
7.1 kB
05. Bayesian AB Testing/22. Why don't we just use a library.vtt
7.0 kB
05. Bayesian AB Testing/4. Calculating a Sample Mean (pt 1).vtt
6.9 kB
06. Bayesian AB Testing Extension/3. Adaptive Ad Server Exercise.vtt
6.8 kB
05. Bayesian AB Testing/20. Thompson Sampling With Gaussian Reward Code.vtt
6.7 kB
04. Traditional AB Testing/6. Confidence Intervals Code.vtt
6.7 kB
03. Bayes Rule and Probability Review/4. The Gambler.vtt
6.6 kB
03. Bayes Rule and Probability Review/12. Probability Review Section Summary.vtt
6.5 kB
05. Bayesian AB Testing/9. Optimistic Initial Values Theory.vtt
6.5 kB
04. Traditional AB Testing/8. Statistical Significance.vtt
6.3 kB
05. Bayesian AB Testing/8. Comparing Different Epsilons.vtt
6.0 kB
03. Bayes Rule and Probability Review/2. Probability and Bayes' Rule Review.vtt
6.0 kB
04. Traditional AB Testing/15. Z-Test Code (pt 2).vtt
5.9 kB
08. Setting Up Your Environment (FAQ by Student Request)/1. Pre-Installation Check.vtt
5.9 kB
05. Bayesian AB Testing/5. Epsilon-Greedy Beginner's Exercise Prompt.vtt
5.8 kB
04. Traditional AB Testing/11. Hypothesis Testing - Further Examples.vtt
5.8 kB
04. Traditional AB Testing/1. Confidence Intervals (pt 1) - Intuition.vtt
5.6 kB
09. Extra Help With Python Coding for Beginners (FAQ by Student Request)/4. Python 2 vs Python 3.vtt
5.6 kB
01. Introduction and Outline/1. What's this course all about.vtt
5.3 kB
04. Traditional AB Testing/2. Confidence Intervals (pt 2) - Beginner Level.vtt
5.3 kB
05. Bayesian AB Testing/18. Thompson Sampling Code.vtt
5.2 kB
05. Bayesian AB Testing/6. Designing Your Bandit Program.vtt
5.0 kB
04. Traditional AB Testing/16. AB Test Exercise.vtt
4.7 kB
05. Bayesian AB Testing/11. Optimistic Initial Values Code.vtt
4.6 kB
06. Bayesian AB Testing Extension/2. Confidence Interval Approximation vs. Beta Posterior.vtt
4.4 kB
03. Bayes Rule and Probability Review/14. Suggestion Box.vtt
4.2 kB
01. Introduction and Outline/3. How to succeed in this course.vtt
4.0 kB
05. Bayesian AB Testing/14. UCB1 Code.vtt
3.5 kB
11. Appendix FAQ Finale/1. What is the Appendix.vtt
3.4 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
2.7 kB
05. Bayesian AB Testing/10. Optimistic Initial Values Beginner's Exercise Prompt.vtt
2.7 kB
05. Bayesian AB Testing/13. UCB1 Beginner's Exercise Prompt.vtt
2.5 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
1.6 kB
05. Bayesian AB Testing/21. Exercise on Gaussian Rewards.vtt
1.4 kB
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