Probability for Machine Learning (7-Day Mini-Course)

Last Updated on January 10, 2020

Probability for Machine Learning Crash Course.
Get on top of the probability used in machine learning in 7 days.

Probability is a field of mathematics that is universally agreed to be the bedrock for machine learning.

Although probability is a large field with many esoteric theories and findings, the nuts and bolts, tools and notations taken from the field are required for machine learning practitioners. With a solid foundation of what probability is, it is possible to focus on just the good or relevant parts.

In this crash course, you will discover how you can get started and confidently understand and implement probabilistic methods used in machine learning with Python in seven days.

This is a big and important post. You might want to bookmark it.

Kick-start your project with my new book Probability for Machine Learning, including step-by-step tutorials and the Python source code files for all examples.

Let’s get started.

• Update Jan/2020: Updated for changes in scikit-learn v0.22 API.