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Introduction to Machine Learning

COS 324

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Provides a broad introduction to different machine learning paradigms and algorithms, providing a foundation for further study or independent work in machine learning, artificial intelligence, and data science. Topics include linear models for classification and regression, support vector machines, neural networks, clustering, principal components analysis, Markov decision processed, planning, and reinforcement learning.
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Section L01

Section P01

Section P02

Section P03

Section P04

Section P05