IT 456 MACHINE LEARNING

Students will learn how to build both supervised and unsupervised machine learning models on their own computer to explore data and make both numeric and category predictions from appropriate datasets. Students will also develop basic skills in data exploration and visualization, hyperparameter estimation, and cross validation. These skills will be developed through text readings and Python programming assignments. Additional readings and videos will be occasionally assigned by the instructor.

Credits

3

Prerequisite

IT 445

Distribution

INFORMATION TECHNOLOGY