INFO621

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INFO621 - Advanced Machine Learning Applications

School of Information Graduate UA - UA General

Course Description

This course explores advanced Machine Learning concepts and theories for learners who have already developed a fundamental understanding of basic methods for pattern recognition and have interest in applied work across contexts and disciplines. This course will advance students' knowledge of machine learning algorithms, neural networks, and a range of deep learning tools, as well as advanced clustering applications and related topics. Students will read and discuss contemporary research from top-tier machine learning conferences and will engage in advanced projects that rely on data to improve system performance.

Min Units

3

Max Units

3

Repeatable for Credit

No

Grading Basis

GRD - Regular Grades A, B, C, D, E

Career

Graduate

Name

Lecture

Workload Hours

3

Optional Component

No

Typically Offered Main Campus

Fall, Spring, Summer

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