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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): ITSC 2214 , STAT 2122 , and MATH 2164
Schedule of Classes
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