| |
Oct 15, 2024
|
|
|
|
|
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)
|
|
