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161.312 Statistical Machine Learning (15 credits)
An introduction to fundamental techniques of machine learning; analysis of large datasets; supervised and unsupervised learning; reinforcement and evolutionary learning; extensive use of programming software suitable for machine learning.
(161.111 or 161.122) and (159.101 or 159.171)
General Prerequisite: At least 45 credits from 200 level.
- Restriction(s): 161.326, 161.324
There are no offerings currently available for this course
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