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CPSC 340 Machine Learning and Data Mining
Models of algorithms for dimensionality reduction, nonlinear regression, classification, clustering and unsupervised learning; applications to computer graphics, computer games, bio-informatics, information retrieval, e-commerce, databases, computer vision and artificial intelligence.
This course is eligible for Credit/D/Fail grading.
To determine whether you can take this course for Credit/D/Fail grading, visit the Credit/D/Fail
website. You must register in the course before you can select the Credit/D/Fail grading option.
Pre-reqs: CPSC 221 and one of MATH 152, MATH 221, MATH 223 and one of MATH 200, MATH 217, MATH 226, MATH 253, MATH 263 and one of STAT 241, STAT 251, ECON 325, ECON 327, MATH 302, STAT 302, MATH 318.
No sections offered for 2019 Summer.