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 |
|---|---|---|---|---|---|---|---|---|---|
| 39671D | 001 | Lecture | 1:00-1:50pm | MWF | 17 of 17 | Guillaume Dreyer | DMC260 |  |