Bayesian Machine Learning in Python: A/B Testing
Data Science, Machine Learning, and Data Analytics Techniques for Marketing, Digital Media, Online Advertising, and More
What you’ll learn
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Use adaptive algorithms to improve A/B testing performance
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Understand the difference between Bayesian and frequentist statistics
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Apply Bayesian methods to A/B testing
Requirements
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Probability (joint, marginal, conditional distributions, continuous and discrete random variables, PDF, PMF, CDF)
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Python coding with the Numpy stack
Who this course is for:
- Students and professionals with a technical background who want to learn Bayesian machine learning techniques to apply to their data science work
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