Lectures

Note: Lecture Slides and Reading will be posted after each lecture.

Jan. 08
Lecture 1: Introduction
Reading: Wagstaff
Jan. 10
Lecture 2: Decision Trees
Reading: [TM]Ch.3, [D]Ch.1
Jan. 15
Reading: [HTF]Sec2.9, [D]Ch.2
Assignment 1 out
Jan. 17
Reading: [HTF]Sec13.3-13.3.2, [D]Ch.3, [TM]Ch.8
Jan. 22
Lecture 5: Perceptron
Reading: [D]Ch.4, [B]Sec 4.1.7
Jan. 24
Lecture 6: Linear Models
Reading: [D]Ch.7.1-7.6, [B]Sec.3.1, 3.2
Assignment 1 due
Jan. 29
Reading: [B]Sec.3.3.1-3.3.2, [M]Sec.2.2, 3.2, [TM]Ch.2
Assignment 2 out, Proposal due
Jan. 31
Reading: [TM]Ch.3
Feb. 05
Reading: [D]Sec7.7, [B]Ch.7,[HTF]Sec.12.1-12.4
Feb. 07
Lecture 10: Kernel Methods
Reading: [D]Ch.11
Assignment 2 due (Feb 8)
Feb. 12
Snow Day (no class)
Feb. 14
Midterm (in class)
Feb. 19
Reading Break (no class)
Feb. 21
Reading Break (no class)
Feb. 26
Lecture 11: Ensemble Learning
Reading: [D]Ch.13, [HTF]Sec.8.7, Freund and Schapire
Assignment 3 out
Feb. 28
Lecture 12: Active Learning
Reading: [BS]Ch.1-Ch.3
Milestone report due
Mar. 05
Lecture 13: Unsupervised Learning
Reading: [B]Ch.12, [D]Ch.15
Mar. 07
Reading: [Z]Ch.1,2,3,4.1-4.3, [B]Ch.9
Assignment 3 due
Mar. 12
Lecture 15: Neural Networks I
Reading: [GBC]Ch.6, Ch.9, Hinton's Videos
Assignment 4 out
Mar. 14
Reading: [D]Sec5.3-5.4, guyon1.pdf, guyon2.pdf
Mar. 19
Lecture 17: Neural Networks II
Reading: [GBC]Ch.10, Ch.14, Goodfellow's GANs Tutorial
Mar. 21
Reading: [D]Ch.17, Notes on CRF
Assignment 4 due
Mar. 26
Lecture 19: Reinforcement Learning
Reading: [SutBar]Ch.1-6
Assignment 5 out
Mar. 28
Lecture 20: Learning by Demonstration
Reading: [D]Ch.18, Osa et al. 2018
Apr. 02
Lecture 21: Intepretability and Fairness
poster (PDF) due
Apr. 04
Poster Session
Assignment 5 due
Apr. 15
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Final report due