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May 04, 2024
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DAT 434 - Machine Learning
Credits: 4
This course introduces machine learning techniques and their implementation. Topics include regression models, decision trees, reinforcement learning, neural networks, naive Bayes, nearest-neighbor algorithms, and other clustering and probability classification techniques.
Prerequisites: CS 260 and STAT 457 .
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