Week 3

I thought this week would be less intense.  The core topics were linear and logistic regression.  After going through the Andrew Ng Machine Learning course on Coursera, I figured this would be basic stuff.

I was clearly mistaken.  It was not simply a matter of running regressions and calling it good.  There is a huge body of knowledge around evaluating the quality of the regressions coming from classical statistics.  On top of that, we have been implementing machine learning models and techniques, such as regularization and gradient descent, from scratch.

It definitely felt like we were drinking from a firehose this week.