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.
Thank you Aerin Kim for you findings and very intuitive explanations.
Thank you Louis Tiao.
Introduction to Probability, Statistics, and Random Processes
Statistical Functions, Operations, etc. using Scipy
Expectation, Variance and Standard Deviation for Continuous Random Variables