Introduction to Machine Learning

10-601B, Fall 2016
School of Computer Science
Carnegie Mellon University


Linear Regression

Additional Reading

What you should know after

  • Regression vs. classification
  • Solving regression problems with 1 and 2 variables
  • Ordinary least squares (OLS) solution to linear regression problems
  • Gradient descent approach to linear regression
  • Data transformation and its impact on the way linear regression is solved, and the expressiveness of LR models