This article had two components that I appreciate: 1. It gave us a broad overview of the field with data (example, the relative performance on various algorith

This article had two components that I appreciate: 1. It gave us a broad overview of the field with data (example, the relative performance on various algorithms on certain problems) 2. It gave us another way of looking at some math we may be familiar with. For example, it looked at econometrics as parameter estimation of a linear model, and ML as the opposite: mapping a function without estimating meaningful or consistent parameters. 3. I know I only said two, but I also enjoyed some of the examples. They are interesting and they quickly summarize the research history.