Introduction
A popular definition of machine learning due to Tom Mitchell is as follows :
Tom Mitchell
A Computer program is said to learn from experience
with respect to some class of tasks , and performance measure , if its performance at tasks in , as measured by , improves with experience .
In this repository we cover ML from a probabilistic perspective, this means that we treat all unknown quantities as random variables, that are endowed with probability distributions which describe a weighted set of possible values the variable may have .