This page lists the readings for each lecture. The instructors will include comments and pointers to other resources that might be helpful to get the most out of the readings.

Mon., April 1:

  • (Murphy 1.1-1.4): This reading is a short introduction to the primary concepts.
  • (Murphy 7.1 - 7.3): This reading covers least squares regression.
  • (Murphy 13.1, 13.3- 13.4.1): This reading covers regularization and LASSO.
  • Optional Probability Refresher: (Murphy 2.1 - 2.5.2, 2.6-2.6.3.)

Wed., April 17:

  • (Murphy 8.1-8.3, 8.5): This reading covers logistic regression, gradient descent, and stochastic gradient descent.