CSC580
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CSC580 - Principles of Machine Learning
Course Description
Students will learn why machine learning is a fundamentally different way of writing computer programs from traditional programming, and why this is often an attractive way of solving practical problems. Machine learning is all about automatic ways for computers to collect and/or adapt to data to make better predictions and decisions or gain insight; students will learn both advantages and unique risks that this approach offers. They will learn the fundamental frameworks, computational methods, and algorithms that underlie current machine learning practice, and how to derive and implement many of them.
Min Units
3
Max Units
3
Repeatable for Credit
No
Grading Basis
GRD - Regular Grades A, B, C, D, E
Career
Graduate
Course Attributes
GIDP - GC (Global Change)
Enrollment Requirements
015356
May be convened with
CSC480
Name
Lecture
Workload Hours
3
Optional Component
No
Typically Offered Main Campus
Fall, Spring