First, we derive the bias-variance tradeoff - a central concept in statistical learning, then we revisit Linear Regression and consider it within the Statistical Learning framework.

Tuesday

  • Bias-Variance Tradeoff
  • Simulation and Decomposition (r code)
  • Lab 1: Intro to R
  • PS 2 (key-html)
  • PS 1 Key (html, Rmd)
  • Reading: p. 29 - 36

Thursday

  • Estimation and inference for Simple Linear Regression (r code)
  • Lab 2(key-html)
  • Reading: p. 59 - 68