COMPSCI 760 - Advanced Topics in Machine Learning
Faculty
Science
Department
Computer Science
Points:
15
Available Semesters:
{}
Course Components
Labs
Tutorials
Lectures
Exam
TBLs
Workshops
Description: An overview of the learning problem and the view of learning by search. Covers advanced techniques for learning such as: decision tree learning, rule learning, exhaustive learning, Bayesian learning, genetic algorithms, reinforcement learning, neural networks, explanation-based learning and inductive logic programming. Advanced experimental methods necessary for understanding machine learning research.
Prerequisites / Restrictions
Prerequisite: COMPSCI 361 or 762
Average Rating From 0 Reviews
Teaching Quality
-
Content Quality
-
Workload
-
Difficulty
-
0% - Would Recommend
0% - Would Not Recommend
Reviews