ITAI 1371 ITAI

CIP Code: 11.0102

Credit Hours: 3
Lecture Hours: 3
Lab Hours: 1
External Hours: 0

Contact Hour Total: 64

This introductory course provides a comprehensive overview of the fundamental concepts, techniques, and algorithms in machine learning. Students will gain the basic ideas and intuition behind modern machine learning methods as well as a more formal understanding of how, why, and when they work.

Topics cover supervised and unsupervised learning, data acquisition, data modeling, classification, and linear regression. The underlying theme is statistical inference, which provides the foundation for most of the methods covered. This course heavily emphasizes hands-on application using the Python programming language.

Prerequisite(s): ITAI 1370

Corequisite(s): None

Co-enrolled: None

Course Fee: 0
Lab Fee: 0
Texas Higher Education Coordinating Board Workforce Education Course Manual (WECM) course

Core No

This is a Blinn College Core Curriculum Course No