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

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Udemy - Bayesian Machine Learning in Python: A/B Testing [Desire Course] (Size: 1.4 GB)
  1. AB Testing Problem Setup.mp4 6.9 MB
  1. AB Testing Problem Setup.srt 6.4 KB
  1. Exercise Compare different strategies.mp4 3.3 MB
  1. Exercise Compare different strategies.srt 2.9 KB
  1. Explore vs. Exploit.mp4 6.4 MB
  1. Explore vs. Exploit.srt 5.5 KB
  1. How to Code by Yourself (part 1).mp4 24.5 MB
  1. How to Code by Yourself (part 1).srt 22.8 KB
  1. How to Succeed in this Course (Long Version).mp4 12.6 MB
  1. How to Succeed in this Course (Long Version).srt 14.6 KB
  1. Real-World Examples of AB Testing.mp4 38.5 MB
  1. Real-World Examples of AB Testing.srt 9.6 KB
  1. Review Section Introduction.mp4 6.4 MB
  1. Review Section Introduction.srt 1.7 KB
  1. What is the Appendix.mp4 5.5 MB
  1. What is the Appendix.srt 3.7 KB
  1. What's this course all about.mp4 29.3 MB
  1. What's this course all about.srt 6 KB
  1. Windows-Focused Environment Setup 2018.mp4 186.4 MB
  1. Windows-Focused Environment Setup 2018.srt 20.1 KB
  10. Chi-Square Exercise.mp4 4.1 MB
  10. Chi-Square Exercise.srt 3.2 KB
  10. Confidence Intervals.mp4 15.4 MB
  10. Confidence Intervals.srt 13.2 KB
  10. Thompson Sampling Convergence Demo.mp4 7.6 MB
  10. Thompson Sampling Convergence Demo.srt 3.3 KB
  11. ABCD… Testing - The Bonferroni Correction.mp4 3.6 MB
  11. ABCD… Testing - The Bonferroni Correction.srt 3 KB
  11. Confidence Interval Approximation vs. Beta Posterior.mp4 11.6 MB
  11. Confidence Interval Approximation vs. Beta Posterior.srt 4.7 KB
  11. What is the Bayesian Paradigm.mp4 9.9 MB
  11. What is the Bayesian Paradigm.srt 6.1 KB
  12. Adaptive Ad Server Exercise.mp4 9.5 MB
  12. Adaptive Ad Server Exercise.srt 7.6 KB
  12. Statistical Power.mp4 4.8 MB
  12. Statistical Power.srt 4 KB
  12. Suggestion Box.mp4 16.1 MB
  12. Suggestion Box.srt 4.7 KB
  13. AB Testing Pitfalls.mp4 6.3 MB
  13. AB Testing Pitfalls.srt 5.2 KB
  14. Traditional AB Testing Summary.mp4 6 MB
  14. Traditional AB Testing Summary.srt 5.1 KB
  2. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 37.8 MB
  2. BONUS Where to get Udemy coupons and FREE deep learning material.srt 7.9 KB
  2. How to Code by Yourself (part 2).mp4 14.8 MB
  2. How to Code by Yourself (part 2).srt 13.3 KB
  2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 43.9 MB
  2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt 14.5 KB
  2. Intro to Exercises on Conjugate Priors.mp4 27.6 MB
  2. Intro to Exercises on Conjugate Priors.srt 7.8 KB
  2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 39 MB
  2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt 31.8 KB
  2. More about the Explore-Exploit Dilemma.mp4 43.7 MB
  2. More about the Explore-Exploit Dilemma.srt 9.9 KB
  2. Probability and Bayes' Rule Review.mp4 21.9 MB
  2. Probability and Bayes' Rule Review.srt 6.6 KB
  2. Simple AB Testing Recipe.mp4 7.8 MB
  2. Simple AB Testing Recipe.srt 6.7 KB
  2. What is Bayesian Machine Learning.mp4 54.7 MB
  2. What is Bayesian Machine Learning.srt 15.4 KB
  2. Where to get the code for this course.mp4 30.4 MB
  2. Where to get the code for this course.srt 7.5 KB
  3. Calculating Probabilities - Practice.mp4 41.7 MB
  3. Calculating Probabilities - Practice.srt 13.9 KB
  3. Exercise Die Roll.mp4 4 MB
  3. Exercise Die Roll.srt 3.2 KB
  3. How to succeed in this course.mp4 27.9 MB
  3. How to succeed in this course.srt 8.8 KB
  3. P-Values.mp4 6.2 MB
  3. P-Values.srt 5.1 KB
  3. Proof that using Jupyter Notebook is the same as not using it.mp4 78.3 MB
  3. Proof that using Jupyter Notebook is the same as not using it.srt 14.1 KB
  3. The Epsilon-Greedy Solution.mp4 15.3 MB
  3. The Epsilon-Greedy Solution.srt 3.9 KB
  3. What order should I take your courses in (part 1).mp4 29.3 MB
  3. What order should I take your courses in (part 1).srt 16 KB
  4. Exercise Gaussians.mp4 8.8 MB
  4. Exercise Gaussians.srt 7 KB
  4. Python 2 vs Python 3.mp4 7.8 MB
  4. Python 2 vs Python 3.srt 6.1 KB
  4. Test Characteristics, Assumptions, and Modifications.mp4 10.5 MB
  4. Test Characteristics, Assumptions, and Modifications.srt 9.5 KB
  4. The Gambler.mp4 27.3 MB
  4. The Gambler.srt 7.7 KB
  4. UCB1.mp4 7.2 MB
  4. UCB1.srt 6 KB
  4. What order should I take your courses in (part 2).mp4 37.6 MB
  4. What order should I take your courses in (part 2).srt 23 KB
  5. Conjugate Priors.mp4 11.1 MB
  5. Conjugate Priors.srt 9.2 KB
  5. Exercise Gaussian Implementation.mp4 8 MB
  5. Exercise Gaussian Implementation.srt 2.5 KB
  5. The Monty Hall Problem.mp4 28.1 MB
  5. The Monty Hall Problem.srt 10.1 KB
  5. t-test in Code.mp4 5.9 MB
  5. t-test in Code.srt 3.1 KB
  6. Bayesian AB Testing.mp4 6.6 MB
  6. Bayesian AB Testing.srt 5.3 KB
  6. Maximum Likelihood Estimation - Bernoulli.mp4 43.8 MB
  6. Maximum Likelihood Estimation - Bernoulli.srt 14.6 KB
  6. The most important quiz of all - Obtaining an infinite amount of practice.mp4 49.9 MB
  6. The most important quiz of all - Obtaining an infinite amount of practice.srt 12.9 KB
  6. t-test Exercise.mp4 8.6 MB
  6. t-test Exercise.srt 7.1 KB
  7. 0.01 vs 0.011 - Why should we care.mp4 2.7 MB
  7. 0.01 vs 0.011 - Why should we care.srt 2.3 KB
  7. Bayesian AB Testing in Code.mp4 19.5 MB
  7. Bayesian AB Testing in Code.srt 7.3 KB
  7. Click-Through Rates (CTR).mp4 9.5 MB
  7. Click-Through Rates (CTR).srt 2.7 KB
  8. AB Test for Click-Through Rates (Chi-Square Test).mp4 9.4 MB
  8. AB Test for Click-Through Rates (Chi-Square Test).srt 7.8 KB
  8. Maximum Likelihood Estimation - Gaussian (pt 1).mp4 40.9 MB
  8. Maximum Likelihood Estimation - Gaussian (pt 1).srt 12.9 KB
  8. The Online Nature of Bayesian AB Testing.mp4 4.1 MB
  8. The Online Nature of Bayesian AB Testing.srt 3.3 KB
  9. CTR AB Test in Code.mp4 57 MB
  9. CTR AB Test in Code.srt 7.4 KB
  9. Finding a Threshold Without P-Values.mp4 7.7 MB
  9. Finding a Threshold Without P-Values.srt 6.2 KB
  9. Maximum Likelihood Estimation - Gaussian (pt 2).mp4 32 MB
  9. Maximum Likelihood Estimation - Gaussian (pt 2).srt 10.3 KB
  [CourseClub.Me].url 0 B
  [DesireCourse.Net].url 0 B
  ▲ 134 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 8/2020
English
English [Auto-generated]

For More Courses Visit: https://desirecourse.net

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