Lecture |
Date |
Topic |
Reading
(textbook) |
Notes |
1 |
Jan 3 |
Introduction to Machine Learning
(Lecture slides) |
[B] Chapter 1 |
|
2 |
Jan 5 |
Decision
trees (Lecture slides) |
[B] Section 14.4 |
|
3 |
Jan 10 |
Nearest neighbour and
statistical learning (Lecture slides) |
[B] Section 2.5.2 |
|
4 |
Jan 12 |
Linear Regression (Lecture slides) |
[B] Section 3.1 |
|
5 |
Jan 17 |
Linear Regression (Lecture
slides -- revised Feb 10) |
[B] Sections 3.1-3.3 |
A1 out |
6 |
Jan 19 | Linear models for classification
(Lecture slides -- revised Jan 30) |
[B] Sections 4.2, 4.3 | |
7 |
Jan 24 |
Perceptrons, neural networks (Lecture slides) |
[B] Sections 4.1.7, 5.1 |
|
8 |
Jan 26 |
Multi-layer Neural networks,
Backpropagation (Lecture slides) |
[B] Sections 5.2, 5.3 | |
9 |
Jan 31 |
Kernel methods (Lecture slides) |
[B] Sections 6.1, 6.2 |
|
10 |
Feb 2 |
Gaussian Processes (Lecture slides) |
[B] Sections 6.4.1, 6.4.2 |
A1 due A2 out |
11 |
Feb 7 |
Support vector machines (Lecture slides) |
[B] Section 7.1 (before Section
7.1.1) |
|
12 |
Feb 9 |
Support vector machines (Lecture slides) |
[B] Section 7.1.1 |
|
13 |
Feb 14 |
Hidden Markov models (Lecture slides) |
[B] Sections 13.1, 13.2 |
|
14 |
Feb 16 |
Hidden Markov models (Lecture slides) |
[B] Section 13.1, 13.2 |
|
15 |
Feb 28 |
PAC (Probably Approximately
Correct) Learning (Lecture slides) |
[BDSS] Chapters 1 |
A2 due |
16 |
Mar 1 |
Learning via Uniform
Convergence
(Lecture slides) |
[BDSS] Chapter 2, 3 |
A3 out Project proposal due |
17 |
Mar 6 |
No-free-lunch theorem,
bias-complexity tradeoff (Lecture
slides) |
[BDSS] Chapter 4 |
|
18 |
Mar 8 |
VC (Vapnik-Chervonenkis)
dimension (Lecture slides) |
[BDSS] Chapter 5 |
|
19 |
Mar 13 |
Hypothesis dependent bounds (Lecture slides) |
[BDSS] Chapters 6-7 |
|
20 |
Mar 15 |
No new material |
A3 due A4 out |
|
21 |
Mar 20 |
Nearest neighbor analysis (Lecture slides) |
[BDSS] Chapter 9 | |
22 |
Mar 22 |
Lecture cancelled due to
overheated classroom |
|
|
23 |
Mar 27 |
Computational Complexity and
Validation (Lecture slides) |
[BDSS] Chapter 10 |
|
24 |
Mar 29 |
course wrap up (Lecture slides) |
A4 due |