CSC580

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CSC580 - Principles of Machine Learning

Computer Science Graduate UA - UA General

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