I’m working my way through a Coursera specialization on Machine Learning. The specialization includes several courses, the first of which provides a high-level overview of ML. I finished that one before I began talking about the coursework on my blog because I didn’t want to identify myself as a student of machine learning until I had actually gone through with something.
Going forward, I’ll share a post on each of the in-depth classes in the specialization. The first in-depth class is called Regression, and it includes six modules. Below I will share a little information about each module, my thoughts on some topics, and links to supplementary reading that I used to deepen my understanding of the concepts in the course.