Advanced Machine Learning and Neural Networks
Advanced Machine Learning and Neural Networks
Formerly titled CS767 Machine Learning
Theories and methods for learning from data. The course covers a variety of approaches, including Supervised and Unsupervised Learning, Neural Nets and Deep Learning, Adversarial Learning, Bayesian Learning, and Genetic Algorithms. Each student focuses on two of these approaches and creates a term project. Laboratory course. Prerequisite: MET CS 521 and either MET CS 622, MET CS 673 or MET CS 682. MET CS 677 is strongly recommended. Or, instructor's consent.
2022FALLMETCS767 A1, Sep 8th to Dec 8th 2022
| Days | Start | End | Type | Bldg | Room |
|---|---|---|---|---|---|
| R | 06:00 PM | 08:45 PM | CAS | 229 |
2022FALLMETCS767 A2, Sep 6th to Dec 6th 2022
| Days | Start | End | Type | Bldg | Room |
|---|---|---|---|---|---|
| T | 12:30 PM | 03:15 PM | CGS | 515 |
2022FALLMETCS767 O2, Nov 1st to Dec 19th 2022
| Days | Start | End | Type | Bldg | Room |
|---|---|---|---|---|---|
| ARR | TBD | TBD | ROOM |
2023SPRGMETCS767 A1, Jan 24th to May 2nd 2023
| Days | Start | End | Type | Bldg | Room |
|---|---|---|---|---|---|
| T | 06:00 PM | 08:45 PM | PHO | 205 |
2023SPRGMETCS767 A2, Jan 24th to May 2nd 2023
| Days | Start | End | Type | Bldg | Room |
|---|---|---|---|---|---|
| T | 09:00 AM | 11:45 AM | MET | 122 |
Format & Syllabus: