Posts filed under “machine learning”
ESL 2: Supervised Learning
Chapter 2 of ESL starts to get into real subject matter, and provides a general framework that will be used for evaluating models throughout the rest of the book. We start with a quick review of terminology (sections 2.1-2.2). Variables and Notation "Statistical Learning" is a mixture of many fields, most especially statistics and machine [...]
ESL: The Elements of Statistical Learning
I am currently working through "The Elements of Statistical Learning" (ESL). I thought that I might take the time to write some notes as I go through the book. In particular, I will try to reproduce most of analysis in the text using R. As a point of comparison, I might also comment on how [...]