Oct 01, 2022  
2019-2020 Catalog 
    
2019-2020 Catalog [ARCHIVED CATALOG]

Add to My Catalog (opens a new window)

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


View course scheduling information




Add to My Catalog (opens a new window)