Machine Learning & Optimiztn

CSCI-4140

The first portion of this course introduces the optimization background necessary to understand the algorithms that dominate the landscape of machine learning. The second portion introduces effective architectures used in modern machine learning. Students revisit classical models and learn state-of-the-art models, always in service of gaining algorithmic insight that is broadly useful beyond specific models.

4 credits
Cross-listed with:

Past Term Data

Offered
Not Offered
Offered as Cross-Listing Only
No Term Data
Spring Summer Fall
(Session 1) (Session 2)
2024
Machine Learning & Optimiztn (4c)
  • Alex Algernon Theodore Gittens
Seats Taken: 17/40
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