Deep Learning Book Notes, Chapter 3 (part 1): Introduction to Probability

These are the first part of my notes for chapter 3 of the Deep Learning book. They can also serve as a quick intro to probability. These notes cover about half of the chapter (the part on introductory probability), a followup post will cover the rest (some more advanced probability and information theory). As usual, this post is based on a Jupyter notebook that can be found here. Perhaps one way to describe probability is as similar to logic, but when uncertainty comes in.