CSC480

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CSC480 - Principles of Machine Learning

Computer Science Undergraduate 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

Undergraduate

Enrollment Requirements

018697

May be convened with

CSC580

Name

Lecture

Workload Hours

3

Optional Component

No

Typically Offered Main Campus

Fall, Spring

Typically Offered Distance Campus

Not Offered

Typically Offered UA Online Campus

Not Offered

Typically Offered Phoenix Campus

Not Offered

Typically Offered South Campus

Not Offered

Typically Offered Community Campus

Not Offered