CS 4641 - Machine Learning

Location: Clough Commons 144 (Lectures will also be broadcast and recorded using BlueJeans https://primetime.bluejeans.com/a2m/live-event/dcwjksqr)
Please carefully read through the course details and FAQ linked to the left.
A tentative plan for the schedule (topics, deadlines, etc.) is available here
Piazza
Gradescope

Schedule

Aug 23

Course Introduction: PML Chapter 1

Aug 25

Decision Trees: CIML Chapter 1 (Quinlan, 1986)

Aug 30

Statistical Estimation (Problem Set 1 due): PML 2.1-2.3

Sep 1

No Class (No Class - Alan is speaking at the University of Notre Dame)

Sep 8

Statistical Estimation (cont.): PML 4.1-4.2.5

Sep 13

Naive Bayes (Project 1 Due): CIML 9.1-9.5, PML 2.5.4

Sep 20

Linear Regression: PML 11.1-11.2, CIML 9.6-9.7

Sep 22

Logistic Regression: PML 10.1-10.3 Notes on Naive Bayes and Logistic Regression

Sep 27

Logistic Regression (cont) and Perceptron: CIML Chapter 4

Oct 4

Kernels: CIML Chapter 11

Oct 6

SVMs: CIML Chapter 7

Oct 5

Problem Set 2 Due

Oct 13

Course Project and Boosting: CIML Chapter 13 and PML 18.5

Oct 20

Neural Networks: CIML Chapter 10

Oct 27

Unsupervised Learning / EM Algorithm: CIML Chapter 16 Notes on the EM Algorithm

Oct 29

(Project 2 Due)

Nov 3

CNNs: PML Chapter 14

Nov 8

No Class: Midterm Due

Nov 15

Neural Nets for Sequences: PML Chapter 15

Nov 17

No Class (DARPA site visit)

Nov 30

Dec 1

Generative Models: Tutorial on VAEs

Dec 10

Final Project Reports Due (No late days)