Welcome to CMSC 422. Machine Learning studies representations and algorithms that allow machines to improve their performance on a task from experience. This is a broad overview of existing methods for machine learning and an introduction to adaptive systems in general. Emphasis is given to practical aspects of machine learning and data mining.
| Week Starting | Tuesday | Thursday |
|---|---|---|
| 08/31 | Course Intro
Welcome to Machine Learning
|
Decision Trees Reading: Chapter 1 of the text book |
| 09/07 | Decision Trees Contd. / Ensemble learning |
K-Nearest Neighbors Reading: Chapter 3 of the text book |
| 09/14 | Perceptron Reading: Chapter 4 of the text book Convex Review |
Convergence Analysis of Perceptron Reading: Chapter 4 of the text book Convex Review |
Instructor: Mohammad Nayeem Teli (nayeem at cs.umd.edu)
Office: IRB 2224
Office Hours: W 10 - 11 AM
| Name | Email (at umd.edu) |
|---|---|
| Gihan Jayatilaka | gihan |
| Drew Gjerstad | dgjersta |
| Mauricio Villavicencio | mivilla |
| Vinayak Gupta | vinayakg |
| Roksana Khanom | rkhanom |
| Monday | Maurico: 12:00 - 2:00 PM |
| Tuesday |
Gihan: 10:30 AM - 12:30 PM, Drew: 10:00 AM - 11:00 AM, Drew: 12:30 PM - 1:30 PM |
| Wednesday |
Gihan: 10:30 AM - 12:30 PM, Maurico: 9:00 AM - 11:00 AM, Vinayak: 3:00 - 5:00 PM |
| Thursday |
Roksana: 9:00 - 1:00 PM, Vinayak: 9:00 - 11:00 AM, Drew: 12:30 - 2:30 PM |
Please note that a TA may need to leave 5 minutes before the end of the hour in order to go to his/her class. Please be understanding of their schedules.
| Homework | Due Date* |
|---|