Bayesian Machine Learning in Python A/B Testing

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Bayesian Machine Learning in Python A/B Testing

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.

Requirements

  • Probability (joint, marginal, conditional distributions, continuous and discrete random variables, PDF, PMF, CDF)
  • Python coding with the Numpy stack

Tournament Tracker Add-on WPF with MVVM User Interface

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)

Content From: https://www.udemy.com/course/bayesian-machine-learning-in-python-ab-testing/

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