# Reading Notes: The Elements of Statistical Learning

I have an endless fascination for statistics and machine learning and all that stuff. I’m also not very good at it. In order to truly, actually learn something, I need to wrestle with the fundamentals of it for a while.

So here we go. My gracious boss lended me his personal copy of esl11 The Elements of Statistical Learning; Data Mining, Inference, and Prediction; Hastie, Tibshirani & Friedman; Springer; 2001. and I’ll slowly try to work my way through at least the most interesting parts of it.

# Data

I’m not sure yet what data I’ll use to support my explorations, but there are a few things I’ve been interested in finding out. One of them relates to the distribution of “likes” on the photos posted by the family’s dogs on Instagram.

I have manually combed through the first few photos and sort of assigned yes/no values to some categories I thought may be relevant, relating to the contents of each photo.

library(tidyverse)