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001 What's this course all about_.en.srt
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002 Where to get the code for this course.en.srt
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002 Where to get the code for this course.mp4
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003 How to succeed in this course.en.srt
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003 How to succeed in this course.mp4
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004 Real-World Examples of A_B Testing.en.srt
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004 Real-World Examples of A_B Testing.mp4
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005 What is Bayesian Machine Learning_.en.srt
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005 What is Bayesian Machine Learning_.mp4
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006 Review Section Introduction.en.srt
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006 Review Section Introduction.mp4
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007 Probability and Bayes' Rule Review.en.srt
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008 Calculating Probabilities - Practice.en.srt
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008 Calculating Probabilities - Practice.mp4
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009 The Gambler.en.srt
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009 The Gambler.mp4
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010 The Monty Hall Problem.en.srt
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010 The Monty Hall Problem.mp4
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011 Maximum Likelihood Estimation - Bernoulli.en.srt
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011 Maximum Likelihood Estimation - Bernoulli.mp4
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012 Click-Through Rates (CTR).en.srt
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012 Click-Through Rates (CTR).mp4
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013 Maximum Likelihood Estimation - Gaussian (pt 1).en.srt
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014 Maximum Likelihood Estimation - Gaussian (pt 2).en.srt
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014 Maximum Likelihood Estimation - Gaussian (pt 2).mp4
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015 CDFs and Percentiles.en.srt
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015 CDFs and Percentiles.mp4
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016 Probability Review in Code.en.srt
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016 Probability Review in Code.mp4
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017 Probability Review Section Summary.en.srt
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017 Probability Review Section Summary.mp4
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018 Beginners_ Fix Your Understanding of Statistics vs Machine Learning.en.srt
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018 Beginners_ Fix Your Understanding of Statistics vs Machine Learning.mp4
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019 Suggestion Box.en.srt
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019 Suggestion Box.mp4
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020 Confidence Intervals (pt 1) - Intuition.en.srt
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020 Confidence Intervals (pt 1) - Intuition.mp4
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021 Confidence Intervals (pt 2) - Beginner Level.en.srt
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022 Confidence Intervals (pt 3) - Intermediate Level.en.srt
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022 Confidence Intervals (pt 3) - Intermediate Level.mp4
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023 Confidence Intervals (pt 4) - Intermediate Level.en.srt
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023 Confidence Intervals (pt 4) - Intermediate Level.mp4
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024 Confidence Intervals (pt 5) - Intermediate Level.en.srt
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024 Confidence Intervals (pt 5) - Intermediate Level.mp4
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025 Confidence Intervals Code.en.srt
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025 Confidence Intervals Code.mp4
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026 Hypothesis Testing - Examples.en.srt
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026 Hypothesis Testing - Examples.mp4
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027 Statistical Significance.en.srt
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027 Statistical Significance.mp4
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028 Hypothesis Testing - The API Approach.en.srt
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028 Hypothesis Testing - The API Approach.mp4
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029 Hypothesis Testing - Accept Or Reject_.en.srt
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029 Hypothesis Testing - Accept Or Reject_.mp4
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030 Hypothesis Testing - Further Examples.en.srt
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031 Z-Test Theory (pt 1).en.srt
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031 Z-Test Theory (pt 1).mp4
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032 Z-Test Theory (pt 2).en.srt
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033 Z-Test Code (pt 1).en.srt
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034 Z-Test Code (pt 2).en.srt
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035 A_B Test Exercise.en.srt
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035 A_B Test Exercise.mp4
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036 Classical A_B Testing Section Summary.en.srt
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036 Classical A_B Testing Section Summary.mp4
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037 Section Introduction_ The Explore-Exploit Dilemma.en.srt
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037 Section Introduction_ The Explore-Exploit Dilemma.mp4
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038 Applications of the Explore-Exploit Dilemma.en.srt
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038 Applications of the Explore-Exploit Dilemma.mp4
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039 Epsilon-Greedy Theory.en.srt
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039 Epsilon-Greedy Theory.mp4
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040 Calculating a Sample Mean (pt 1).en.srt
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040 Calculating a Sample Mean (pt 1).mp4
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041 Epsilon-Greedy Beginner's Exercise Prompt.en.srt
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041 Epsilon-Greedy Beginner's Exercise Prompt.mp4
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042 Designing Your Bandit Program.en.srt
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043 Epsilon-Greedy in Code.en.srt
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043 Epsilon-Greedy in Code.mp4
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044 Comparing Different Epsilons.en.srt
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044 Comparing Different Epsilons.mp4
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045 Optimistic Initial Values Theory.en.srt
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045 Optimistic Initial Values Theory.mp4
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046 Optimistic Initial Values Beginner's Exercise Prompt.en.srt
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047 Optimistic Initial Values Code.en.srt
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048 UCB1 Theory.en.srt
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048 UCB1 Theory.mp4
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049 UCB1 Beginner's Exercise Prompt.en.srt
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050 UCB1 Code.en.srt
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051 Bayesian Bandits _ Thompson Sampling Theory (pt 1).en.srt
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051 Bayesian Bandits _ Thompson Sampling Theory (pt 1).mp4
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052 Bayesian Bandits _ Thompson Sampling Theory (pt 2).en.srt
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052 Bayesian Bandits _ Thompson Sampling Theory (pt 2).mp4
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053 Thompson Sampling Beginner's Exercise Prompt.en.srt
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053 Thompson Sampling Beginner's Exercise Prompt.mp4
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054 Thompson Sampling Code.en.srt
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054 Thompson Sampling Code.mp4
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055 Thompson Sampling With Gaussian Reward Theory.en.srt
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055 Thompson Sampling With Gaussian Reward Theory.mp4
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056 Thompson Sampling With Gaussian Reward Code.en.srt
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056 Thompson Sampling With Gaussian Reward Code.mp4
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057 Why don't we just use a library_.en.srt
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057 Why don't we just use a library_.mp4
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058 Nonstationary Bandits.en.srt
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058 Nonstationary Bandits.mp4
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059 Bandit Summary, Real Data, and Online Learning.en.srt
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059 Bandit Summary, Real Data, and Online Learning.mp4
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060 (Optional) Alternative Bandit Designs.en.srt
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061 More about the Explore-Exploit Dilemma.en.srt
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061 More about the Explore-Exploit Dilemma.mp4
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062 Confidence Interval Approximation vs. Beta Posterior.en.srt
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062 Confidence Interval Approximation vs. Beta Posterior.mp4
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063 Adaptive Ad Server Exercise.en.srt
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063 Adaptive Ad Server Exercise.mp4
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064 Intro to Exercises on Conjugate Priors.en.srt
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065 Exercise_ Die Roll.en.srt
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065 Exercise_ Die Roll.mp4
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066 The most important quiz of all - Obtaining an infinite amount of practice.en.srt
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066 The most important quiz of all - Obtaining an infinite amount of practice.mp4
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067 Windows-Focused Environment Setup 2018.en.srt
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067 Windows-Focused Environment Setup 2018.mp4
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068 How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.en.srt
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068 How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4
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069 How to Code by Yourself (part 1).en.srt
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069 How to Code by Yourself (part 1).mp4
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070 How to Code by Yourself (part 2).en.srt
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070 How to Code by Yourself (part 2).mp4
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071 Proof that using Jupyter Notebook is the same as not using it.en.srt
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071 Proof that using Jupyter Notebook is the same as not using it.mp4
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072 Python 2 vs Python 3.en.srt
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072 Python 2 vs Python 3.mp4
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073 How to Succeed in this Course (Long Version).en.srt
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073 How to Succeed in this Course (Long Version).mp4
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074 Is this for Beginners or Experts_ Academic or Practical_ Fast or slow-paced_.en.srt
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074 Is this for Beginners or Experts_ Academic or Practical_ Fast or slow-paced_.mp4
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075 Machine Learning and AI Prerequisite Roadmap (pt 1).en.srt
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075 Machine Learning and AI Prerequisite Roadmap (pt 1).mp4
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076 Machine Learning and AI Prerequisite Roadmap (pt 2).en.srt
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076 Machine Learning and AI Prerequisite Roadmap (pt 2).mp4
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077 What is the Appendix_.en.srt
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077 What is the Appendix_.mp4
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078 BONUS_ Where to get Udemy coupons and FREE deep learning material.en.srt
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078 BONUS_ Where to get Udemy coupons and FREE deep learning material.mp4
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[CourseClub.Me].url
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URL
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102.4 B
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[GigaCourse.Com].url
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URL
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0 B
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external-assets-links.txt
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TXT
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102.4 B
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![Udemy - Bayesian Machine Learning in Python: A/B Testing [Giga Course]](/static/img/no-torrent-image.png "Udemy - Bayesian Machine Learning in Python: A/B Testing [Giga Course]")
