Mathematics 446:
Machine Learning through Python (4.0 units)
Probabilistic model building, linear predictors, neural networks, classification, unsupervised learning, principal components, clustering, model validation, Machine Learning pipelines, programmatic data wrangling.
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 39691D | 001 | Lecture | 1:00-1:50pm | MWF | 40 of 40 | Neelesh Tiruviluamala | WPH102 |  | |
| 39692D | 001 | Discussion | 4:00-4:50pm | Tue, Thu | 20 of 20 | THH116 | | ||
| 39693D | 001 | Discussion | 5:00-5:50pm | Tue, Thu | 20 of 20 | THH116 | |