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Dec 22, 2024
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ITCS 4156 - Introduction to Machine Learning
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.
Credit Hours: (3)
Prerequisite(s): ITCS 3153 and STAT 2122 .
Most Recently Offered (Day): Fall 2019, Second Summer 2019, Spring 2019
Most Recently Offered (Evening): Spring 2018, Spring 2017
Schedule of Classes
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