Note: All assignments should be uploaded before the beginning of class on the day they are due. Homework problems will be assigned from the text, and in separate pdf files that can be accessed via the [Problems] link at the end of the assignment.

Note that ISL = An Introduction to Statistical Learning refers to the primary course text.

Assignment 1: Due Tuesday 26 January

Reading: ISL Ch.1 and 2.1-2.2

Assignment 2: Due Tuesday 2 February

Reading: ISL Ch.10.1-10.2. Also, have a look at Chapter 1 of The Cauchy-Schwarz Master Class by J. Michael Steele for more about inequalities.

Assignment 3: Due Tuesday 9 February

Reading: ISL 10.1-10.3

Assignment 4: Due **Thursday** February 18

Reading: ISL 4.1-4.5

Assignment 5: Due Tuesday February 23

Reading: ISL 4.1-4.5, Lecture notes on Basic Probality, Expectations and Maximum Likelihood, and the Multivariate Normal Distribution

Assignment 6: Due Tuesday March 2

Reading: ISL 4.1-4.5, Lecture notes on Basic Probality, Expectations and Maximum Likelihood, and the Multivariate Normal Distribution

Assignment 7: **Due Saturday March 6 by Noon**

Reading: Review lecture notes and course material for Midterm.

Assignment 8: Due Tuesday March 23

Reading: ISL Ch5.1, Ch3.1-3.4

Assignment 9:: Due Tuesday March 30

Reading: ISL Ch.6

Assignment 10: Due **Thursday 8 April **before lecture

Reading: ISL Ch.6

Assignment 11: Due Tuesday 13 April

Reading ISL Ch.3, Ch.6, Ch.9

Assignment 12: Due Tuesday 20 April

Reading **ESL** Ch 12.1, 12.2, 12.3.1-12.3.3, Ch.8.1, 8.2, 8.7, 9.2

Assignment 13: Due **Thursday 29** April

Reading **ESL** Ch 12.1, 12.2, 12.3.1-12.3.3, Ch.8.1, 8.2, 8.7, 9.2