Artificial Intelligence
Introduction to Machine Learning
4 credits
Core methodological paradigms in machine learning. Models for supervised prediction and unsupervised analysis. Deep learning techniques using differentiable programming.
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| Section | Activity | Enrolled | Time | Instructor |
|---|---|---|---|---|
| 201 | Lecture | — | Tue 14:00-15:30, Thu 14:00-15:30 | Danica SutherlandHila Gonen |
| L2A | Laboratory | — | Wed 10:00-12:00 | — |
| L2B | Laboratory | — | Wed 12:00-14:00 | — |
| L2C | Laboratory | — | Wed 16:00-18:00 | — |
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