Bayesian Machine Learning in Python A/B Testing Free Download. Data Science, Machine Learning, and Data Analytics Techniques for Marketing, Digital Media, Online Advertising, and More
Bayesian Machine Learning in Python A/B Testing Description
This course is all about A/B testing.
A/B testing is used everywhere. Marketing, retail, newsfeeds, online advertising, and more.
A/B testing is all about comparing things.
If you’re a data scientist, and you want to tell the rest of the company, “logo A is better than logo B”, well you can’t just say that without proving it using numbers and statistics.
Traditional A/B testing has been around for a long time, and it’s full of approximations and confusing definitions.
In this course, while we will do traditional A/B testing in order to appreciate its complexity, what we will eventually get to is the Bayesian machine learning way of doing things.
Probability (joint, marginal, conditional distributions, continuous and discrete random variables, PDF, PMF, CDF)
Python coding with the Numpy stack
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
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
Bayesian Machine Learning in Python A/B Testing Free Download
Google Drive (2021-1)