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Chapter 1: Introduction to Supervised Learning

Eventually, this chapter will have 5 sections. As these sections are finished, they will be unveiled in the table of contents to the left, and linked directly on the course website underneath any relevant lectures.

  1. What is Machine Learning?
  2. Loss Functions and the Constant Model
  3. Empirical Risk Minimization
  4. Simple Linear Regression
  5. Least Squares