Bayesian Machine Learning in Python: A/B Testing

 

Bayesian Machine Learning in Python: A/B Testing - Data Science, Machine Learning, and Data Analytics Techniques for Marketing, Digital Media, Online Advertising, and More

The course “Bayesian Machine Learning in Python: A/B Testing” on Udemy is all about A/B testing. The course teaches you how to use Bayesian techniques to analyze A/B tests. You will learn how to use Python and its libraries to perform Bayesian analysis and how to use Bayesian methods for A/B testing. The course is designed for data scientists who want to learn how to use Bayesian methods for A/B testing and other machine learning models. The course is taught by Lazy Programmer Inc. and has 10.5 hours of content

What you'll learn

• Use adaptive algorithms to improve A/B testing performance
• Understand the difference between Bayesian and frequentist statistics
• Apply Bayesian methods to A/B testing

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