As others have mentioned I did not intend to bloat by using the word 'machine learning.' Polynomial regression is taught as first concept in many machine learning courses so I figured it might be a good way to introduce newcomers to the field. Many of the posts currently available only show how to make another neural network for MNIST, but do not cover the background theory. I know that polynomial regression is a concept of statistics, but I would argue most of machine learning is too. That is the reason I choose this concept as an intro to machine learning (and consequently statistics).
Thank you for your feedback. I really appreciate it. I have added a paragraph on the normal equation (should be online anytime) and why you might/might not want to use it.
Thank you for your feedback. I really appreciate it. I have added a paragraph on the normal equation (should be online anytime) and why you might/might not want to use it.