Introduction to Machine Learning

CT Score

1500

#0 of 0 in ELEC

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In the tree

( STAT 405 or CAAM 210 or CMOR 220 or COMP 140 or DSCI 101 ) and (CAAM 334 or CMOR 303 or CAAM 335 or CMOR 302 or MATH 355 or MATH 354 ) and ( ELEC 303 or DSCI 301 or STAT 310 or STAT 311 ) Description: This course is an advanced introduction to concepts, methods, best practices, and theoretical foundations of machine learning. Topics covered include regression, classification, regularization, kernels, clustering, dimension reduction, decision trees, ensemble learning, and neural networks. Graduate/Undergraduate Equivalency: ELEC 578 . Mutually Exclusive: Cannot register for ELEC 478 if student has credit for COMP 540 / DSCI 303 / ELEC 578 / STAT 413 / STAT 613→ELEC 478→unlocks 12 courses

12 mapped courses list ELEC 478 as a prerequisite. See on the map →

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