Probability and Information Theory

This repository will focus on the probability and information theory fundamentals for machine learning. There will be example code provided to help explain the text.

References

Thank you Aerin Kim for you findings and very intuitive explanations.

Thank you Louis Tiao.

Resources

Introduction to Probability, Statistics, and Random Processes

Statistical Functions, Operations, etc. using Scipy

Tensorflow Probability

Statistics Models

Expectation, Variance and Standard Deviation for Continuous Random Variables

Stanford Notes: Review of Probability Theory