Ricardo Vilalta (rvilalta@uh.edu)
Agrawal Engineering Research (AER) Building, Room 203C.
Tuesdays 10:30 AM - 11:30 AM
Tuesdays 11:30 AM - 1:00 PM in Bldg: CBB, Room: 118.
No face-to-face classes on Thursdays (video lectures will be available).
(713) 743-3614
| Yasmin Farzana | Michail Koumpanakis |
|---|---|
| Office Hours: Thursdays 3:00 - 4:00 PM via MS Teams | Office Hours: Tuesdays 10:00 AM - Noon via MS Teams |
| Email: fyasmin2@uh.edu | Email: mkoumpanakis@uh.edu |
Machine Learning is the study of how to build computer systems that learn from experience. It is a subfield of Artificial Intelligence and intersects with statistics, cognitive science, information theory, optimization, and probability theory. The course will explain how to build systems that learn and adapt using examples from real-world applications. The class will be self-contained (i.e., I will not assume any previous knowledge). The main topics include linear discriminants, neural networks, decision trees, support vector machines, unsupervised learning, and reinforcement learning.
For more information, visit the course on Canvas.
| Graded Work | Weight |
|---|---|
Midterm Exams Homework Final Project |
50% 25% 25% |
| Dates to Remember | Event |
|---|---|
| August 22 | 1st class |
| October 3 | 1st Midterm Exam |
| November 21 | No Class; Thanksgiving Holiday |
| November 28 | 2nd Midterm Exam |
| December 6 | Final Project Due (midnight) |
Note: This course has no final exam.
| Dates | Topic |
|---|---|
| August 22 | Introduction to Machine Learning and Supervised Learning |
| August 29 | Linear Regression |
| September 5 | Linear Classification |
| September 12 | Basis Expansions and Regularization |
| September 19 | Decision Trees and Related Methods |
| September 26 | Model Assessment and Selection |
| October 3 | 1st Midterm Exam |
| October 10 | Neural Networks |
| October 17 | Random Forests and Boosting |
| October 24 | Support Vector Machines |
| October 31 | Unsupervised Learning |
| November 7 | Reinforcement Learning |
| November 14 | Learning Theory |
| November 21 | Thanksgiving Holiday - No Class |
| November 28 | 2nd Midterm Exam |
| December 6 | Final Project Due (midnight) |
For more information, visit the course on Canvas.