8. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.mp4 195.5 MB
9. 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 82.1 MB
5. Bayesian AB Testing/16. Bayesian Bandits Thompson Sampling Theory (pt 2).mp4 78.5 MB
4. Traditional AB Testing/14. Z-Test Code (pt 1).mp4 71.2 MB
5. Bayesian AB Testing/15. Bayesian Bandits Thompson Sampling Theory (pt 1).mp4 58.9 MB
5. Bayesian AB Testing/12. UCB1 Theory.mp4 58.5 MB
2. The High-Level Picture/2. What is Bayesian Machine Learning.mp4 57.3 MB
3. Bayes Rule and Probability Review/11. Probability Review in Code.mp4 57.0 MB
5. Bayesian AB Testing/1. Section Introduction The Explore-Exploit Dilemma.mp4 54.8 MB
5. Bayesian AB Testing/24. (Optional) Alternative Bandit Designs.mp4 54.5 MB
4. Traditional AB Testing/9. Hypothesis Testing - The API Approach.mp4 50.5 MB
7. Practice Makes Perfect/3. The most important quiz of all - Obtaining an infinite amount of practice.mp4 49.4 MB
5. Bayesian AB Testing/2. Applications of the Explore-Exploit Dilemma.srt 49.4 MB
5. Bayesian AB Testing/2. Applications of the Explore-Exploit Dilemma.mp4 49.3 MB
5. Bayesian AB Testing/19. Thompson Sampling With Gaussian Reward Theory.mp4 49.2 MB
4. Traditional AB Testing/17. Classical AB Testing Section Summary.mp4 48.5 MB
5. Bayesian AB Testing/8. Comparing Different Epsilons.mp4 46.1 MB
8. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
1. Introduction and Outline/3. How to succeed in this course.mp4 45.9 MB
3. Bayes Rule and Probability Review/6. Maximum Likelihood Estimation - Bernoulli.mp4 45.9 MB
6. Bayesian AB Testing Extension/1. More about the Explore-Exploit Dilemma.mp4 45.9 MB
5. Bayesian AB Testing/20. Thompson Sampling With Gaussian Reward Code.mp4 45.8 MB
4. Traditional AB Testing/4. Confidence Intervals (pt 4) - Intermediate Level.mp4 44.7 MB
3. Bayes Rule and Probability Review/3. Calculating Probabilities - Practice.mp4 43.8 MB
5. Bayesian AB Testing/7. Epsilon-Greedy in Code.mp4 43.8 MB
3. Bayes Rule and Probability Review/8. Maximum Likelihood Estimation - Gaussian (pt 1).mp4 42.8 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 40.8 MB
2. The High-Level Picture/1. Real-World Examples of AB Testing.mp4 40.4 MB
3. Bayes Rule and Probability Review/10. CDFs and Percentiles.mp4 40.2 MB
11. Appendix FAQ Finale/2. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
10. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 39.5 MB
3. Bayes Rule and Probability Review/13. Beginners Fix Your Understanding of Statistics vs Machine Learning.mp4 38.9 MB
4. Traditional AB Testing/5. Confidence Intervals (pt 5) - Intermediate Level.mp4 38.2 MB
4. Traditional AB Testing/12. Z-Test Theory (pt 1).mp4 38.1 MB
4. Traditional AB Testing/3. Confidence Intervals (pt 3) - Intermediate Level.mp4 36.6 MB
5. Bayesian AB Testing/18. Thompson Sampling Code.mp4 34.8 MB
4. Traditional AB Testing/6. Confidence Intervals Code.mp4 34.8 MB
5. Bayesian AB Testing/23. Bandit Summary, Real Data, and Online Learning.mp4 34.3 MB
4. Traditional AB Testing/7. Hypothesis Testing - Examples.mp4 34.2 MB
4. Traditional AB Testing/12. Z-Test Theory (pt 1).srt 33.9 MB
3. Bayes Rule and Probability Review/9. Maximum Likelihood Estimation - Gaussian (pt 2).mp4 33.6 MB
5. Bayesian AB Testing/22. Nonstationary Bandits.mp4 32.8 MB
4. Traditional AB Testing/13. Z-Test Theory (pt 2).mp4 31.9 MB
1. Introduction and Outline/2. Where to get the code for this course.mp4 31.9 MB
10. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 30.7 MB
1. Introduction and Outline/1. What's this course all about.mp4 30.7 MB
5. Bayesian AB Testing/5. Epsilon-Greedy Beginner's Exercise Prompt.mp4 30.4 MB
4. Traditional AB Testing/15. Z-Test Code (pt 2).mp4 30.3 MB
5. Bayesian AB Testing/3. Epsilon-Greedy Theory.mp4 30.0 MB
3. Bayes Rule and Probability Review/5. The Monty Hall Problem.mp4 29.4 MB
5. Bayesian AB Testing/21. Why don't we just use a library.mp4 29.1 MB
7. Practice Makes Perfect/1. Intro to Exercises on Conjugate Priors.mp4 28.9 MB
3. Bayes Rule and Probability Review/4. The Gambler.mp4 28.7 MB
4. Traditional AB Testing/11. Hypothesis Testing - Further Examples.mp4 26.2 MB
5. Bayesian AB Testing/11. Optimistic Initial Values Code.mp4 26.1 MB
3. Bayes Rule and Probability Review/12. Probability Review Section Summary.mp4 25.8 MB
9. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. How to Code by Yourself (part 1).mp4 25.7 MB
4. Traditional AB Testing/8. Statistical Significance.mp4 25.4 MB
5. Bayesian AB Testing/9. Optimistic Initial Values Theory.mp4 25.0 MB
5. Bayesian AB Testing/4. Calculating a Sample Mean (pt 1).mp4 24.6 MB
5. Bayesian AB Testing/6. Designing Your Bandit Program.mp4 24.4 MB
4. Traditional AB Testing/1. Confidence Intervals (pt 1) - Intuition.mp4 23.8 MB
3. Bayes Rule and Probability Review/2. Probability and Bayes' Rule Review.srt 22.9 MB
3. Bayes Rule and Probability Review/2. Probability and Bayes' Rule Review.mp4 22.9 MB
5. Bayesian AB Testing/14. UCB1 Code.mp4 21.9 MB
4. Traditional AB Testing/2. Confidence Intervals (pt 2) - Beginner Level.mp4 20.2 MB
4. Traditional AB Testing/10. Hypothesis Testing - Accept Or Reject.mp4 14.0 MB
5. Bayesian AB Testing/13. UCB1 Beginner's Exercise Prompt.mp4 13.6 MB
10. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/1. How to Succeed in this Course (Long Version).mp4 13.2 MB
6. Bayesian AB Testing Extension/2. Confidence Interval Approximation vs. Beta Posterior.mp4 12.2 MB
3. Bayes Rule and Probability Review/7. Click-Through Rates (CTR).mp4 9.9 MB
6. Bayesian AB Testing Extension/3. Adaptive Ad Server Exercise.mp4 9.9 MB
9. Extra Help With Python Coding for Beginners (FAQ by Student Request)/4. Python 2 vs Python 3.mp4 8.2 MB
3. Bayes Rule and Probability Review/1. Review Section Introduction.mp4 6.7 MB
11. Appendix FAQ Finale/1. What is the Appendix.mp4 5.7 MB
7. Practice Makes Perfect/2. Exercise Die Roll.mp4 4.2 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.srt 32.5 kB
5. Bayesian AB Testing/16. Bayesian Bandits Thompson Sampling Theory (pt 2).srt 24.4 kB
10. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2).srt 23.6 kB
9. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. How to Code by Yourself (part 1).srt 23.3 kB
8. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.srt 20.6 kB
5. Bayesian AB Testing/12. UCB1 Theory.srt 20.4 kB
5. Bayesian AB Testing/15. Bayesian Bandits Thompson Sampling Theory (pt 1).srt 17.4 kB
10. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1).srt 16.4 kB
4. Traditional AB Testing/14. Z-Test Code (pt 1).srt 16.0 kB
2. The High-Level Picture/2. What is Bayesian Machine Learning.srt 15.8 kB
5. Bayesian AB Testing/19. Thompson Sampling With Gaussian Reward Theory.srt 15.4 kB
3. Bayes Rule and Probability Review/6. Maximum Likelihood Estimation - Bernoulli.srt 15.0 kB
10. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/1. How to Succeed in this Course (Long Version).srt 15.0 kB
5. Bayesian AB Testing/24. (Optional) Alternative Bandit Designs.srt 14.9 kB
8. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt 14.8 kB
9. Extra Help With Python Coding for Beginners (FAQ by Student Request)/3. Proof that using Jupyter Notebook is the same as not using it.srt 14.5 kB
4. Traditional AB Testing/4. Confidence Intervals (pt 4) - Intermediate Level.srt 14.4 kB
3. Bayes Rule and Probability Review/3. Calculating Probabilities - Practice.srt 14.2 kB
5. Bayesian AB Testing/1. Section Introduction The Explore-Exploit Dilemma.srt 14.0 kB
9. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. How to Code by Yourself (part 2).srt 13.6 kB
3. Bayes Rule and Probability Review/8. Maximum Likelihood Estimation - Gaussian (pt 1).srt 13.2 kB
4. Traditional AB Testing/5. Confidence Intervals (pt 5) - Intermediate Level.srt 13.1 kB
4. Traditional AB Testing/17. Classical AB Testing Section Summary.srt 13.1 kB
4. Traditional AB Testing/3. Confidence Intervals (pt 3) - Intermediate Level.srt 13.0 kB
7. Practice Makes Perfect/3. The most important quiz of all - Obtaining an infinite amount of practice.srt 12.9 kB
3. Bayes Rule and Probability Review/11. Probability Review in Code.srt 12.6 kB
4. Traditional AB Testing/9. Hypothesis Testing - The API Approach.srt 12.1 kB
3. Bayes Rule and Probability Review/10. CDFs and Percentiles.srt 11.7 kB
3. Bayes Rule and Probability Review/9. Maximum Likelihood Estimation - Gaussian (pt 2).srt 10.6 kB
3. Bayes Rule and Probability Review/5. The Monty Hall Problem.srt 10.4 kB
4. Traditional AB Testing/13. Z-Test Theory (pt 2).srt 10.2 kB
6. Bayesian AB Testing Extension/1. More about the Explore-Exploit Dilemma.srt 10.2 kB
5. Bayesian AB Testing/22. Nonstationary Bandits.srt 9.8 kB
2. The High-Level Picture/1. Real-World Examples of AB Testing.srt 9.8 kB
4. Traditional AB Testing/7. Hypothesis Testing - Examples.srt 9.7 kB
5. Bayesian AB Testing/3. Epsilon-Greedy Theory.srt 9.6 kB
3. Bayes Rule and Probability Review/13. Beginners Fix Your Understanding of Statistics vs Machine Learning.srt 9.5 kB
5. Bayesian AB Testing/7. Epsilon-Greedy in Code.srt 8.7 kB
5. Bayesian AB Testing/23. Bandit Summary, Real Data, and Online Learning.srt 8.5 kB
1. Introduction and Outline/3. How to succeed in this course.srt 8.5 kB
11. Appendix FAQ Finale/2. BONUS Where to get Udemy coupons and FREE deep learning material.srt 8.1 kB
7. Practice Makes Perfect/1. Intro to Exercises on Conjugate Priors.srt 8.0 kB
3. Bayes Rule and Probability Review/4. The Gambler.srt 7.9 kB
5. Bayesian AB Testing/21. Why don't we just use a library.srt 7.9 kB
6. Bayesian AB Testing Extension/3. Adaptive Ad Server Exercise.srt 7.8 kB
1. Introduction and Outline/2. Where to get the code for this course.srt 7.7 kB
4. Traditional AB Testing/6. Confidence Intervals Code.srt 7.7 kB
5. Bayesian AB Testing/4. Calculating a Sample Mean (pt 1).srt 7.5 kB
3. Bayes Rule and Probability Review/12. Probability Review Section Summary.srt 7.5 kB
5. Bayesian AB Testing/20. Thompson Sampling With Gaussian Reward Code.srt 7.4 kB
5. Bayesian AB Testing/9. Optimistic Initial Values Theory.srt 7.3 kB
4. Traditional AB Testing/8. Statistical Significance.srt 7.1 kB
5. Bayesian AB Testing/8. Comparing Different Epsilons.srt 7.0 kB
4. Traditional AB Testing/1. Confidence Intervals (pt 1) - Intuition.srt 6.7 kB
4. Traditional AB Testing/15. Z-Test Code (pt 2).srt 6.7 kB
5. Bayesian AB Testing/5. Epsilon-Greedy Beginner's Exercise Prompt.srt 6.5 kB
4. Traditional AB Testing/11. Hypothesis Testing - Further Examples.srt 6.4 kB
9. Extra Help With Python Coding for Beginners (FAQ by Student Request)/4. Python 2 vs Python 3.srt 6.2 kB
1. Introduction and Outline/1. What's this course all about.srt 6.1 kB
4. Traditional AB Testing/2. Confidence Intervals (pt 2) - Beginner Level.srt 5.9 kB
5. Bayesian AB Testing/18. Thompson Sampling Code.srt 5.7 kB
5. Bayesian AB Testing/6. Designing Your Bandit Program.srt 5.6 kB
5. Bayesian AB Testing/11. Optimistic Initial Values Code.srt 5.4 kB
4. Traditional AB Testing/16. AB Test Exercise.srt 5.2 kB
6. Bayesian AB Testing Extension/2. Confidence Interval Approximation vs. Beta Posterior.srt 4.8 kB
3. Bayes Rule and Probability Review/14. Suggestion Box.srt 4.8 kB
11. Appendix FAQ Finale/1. What is the Appendix.srt 3.8 kB