INF 385T - Special Topics in Information Science: Introduction to Machine Learning

Spring 2018
Unique ID: 27330
Syllabus:  
Prof:  Gurari, Danna
Room: UTA 1.210A
Days:  Wed
Time: 3:00 pm - 6:00 pm
 

Prerequisites:
Graduate standing. Additional prerequisites may vary with the topic.

Description:
Study of the properties and behavior of information. Technology for information processing and management.

Three lecture hours a week for one semester.

May be repeated for credit when the topics vary.

Topic Description:
Introduction to Machine Learning

Notes:
This class will cover fundamental and state-of-art machine learning concepts and tools that are applied in a variety of fields including computer vision and natural language processing. Topics covered will include regression, classification, and feature selection/learning. Classes will be a mix of lectures and hands-on training to develop practical skills in building intelligent systems.

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