Jun 14, 2024  
2019-2020 Catalog 
2019-2020 Catalog [ARCHIVED CATALOG]

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EECS 276: Machine Learning

Units: 4

Survey of techniques for the development and analysis of software that learns from experience. An introduction to computational learning theory. Bayesian approaches to learning. Instance-based methods and case-based learning. Decision tree learning. Inductive logic. Artificial neural networks. Kernel methods. Reinforcement learning. Learning from demonstrations and explicit instruction.

Course Details
Repeatable for Credit: No
Laboratory included
Normal Letter Grade only

Requisites and Restrictions
Instructor Permission Required: Yes

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