10 715

Advanced Topics in Machine Learning

Carnegie Mellon University · UGRD · Fall 2026

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Machine Learning is the primary pillar that Artificial Intelligence is built upon. This course is designed for Ph.D. students whose primary field of study is machine learning, and who intend to make machine learning methodological research a main focus of their thesis. Students entering the class are expected to have already taken a graduate-level introduction to machine learning course. Prerequisites: ( 15-121 Min. grade C or 15-122 Min. grade C) and ( 15-151 Min. grade C or 21-127 Min. grade C or 21-128 Min. grade C) and ( 21-325 Min. grade C or 36-217 Min. grade C or 36-225 Min. grade C or 15-359 Min. grade C or 36-218 Min. grade C or 15-259 Min. grade C) Course Website: https://www.cs.cmu.edu/~nihars/teaching/10715-Fa23/index.html

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Class #carnegie_mellon-10715Fall 2026UGRD12 credits
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