| |
May 05, 2024
|
|
|
|
|
ITCS 4156 - Introduction to Machine Learning
Credit Hours: (3)
Introduction to the machine learning pipeline of data collection, feature creation, algorithms, and evaluation for classification and regression, with an emphasis on practical applications. Covers fundamental concepts, such as training, validation, overfitting, and error rates in addition to commonly used machine learning algorithms, such as decision trees, Naive Bayes, and random forests.
Prerequisite(s): ITCS 3153 and STAT 2122 .
Schedule of Classes
Add to Catalog Bookmarks (opens a new window)
|
|
