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