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Machine Learning in Mechatronics MSE 413 (3)

An introduction to machine learning (ML) packages in Python. An introduction to the development and implementation of ML algorithms in mechatronic systems (MS). It covers a wide variety of ML techniques including supervised, unsupervised and reinforcement learning algorithms. Students learn to develop and implement ML algorithms in embedded systems, also how to evaluate developed models. Prerequisite: Minimum 80 units and MSE 352. Students who have taken CMPT 726 first may not then take this course for further credit. Students with credit for CMPT 419 under the title "Machine Learning" may not take this course for further credit.