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
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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
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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
Tournament Tracker Add-on WPF with MVVM User Interface
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
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/
