Statistics & Applied Probability - PSTAT

Deep learning predictive models, optimization, and sampling algorithms. Emphasis is on learning the probabilistic framework, understanding the ideas behind modern machine learning algorithms, and practicing coding skills to solve real-world problems using computational approaches in artificial intelligence.

Prerequisites: PSTAT 126 with a minimum grade of C or higher.


PSTAT 133
0 / 50 Enrolled
Statistical Deep Learning for Artificial Intelligence
Mengyang Michael Gu 3.9
M W
09:30 AM - 10:45 AM
58.4% A
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