Machine Learning: Concepts and Techniques

CT Score

1500

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MATH 355 or MATH 354 or CAAM 335 or CMOR 302 or CAAM 334 or CMOR 303 Description: This course deals with machine learning, from its theoretical mathematical foundations to practical implementation in computer algorithms for data science applications. The course follows a deterministic rather than probabilistic approach to focus on the key concepts; linear algebra plays a starring role→ELEC 378→unlocks 6 courses

6 mapped courses list ELEC 378 as a prerequisite. See on the map →

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