Aug 12, 2022  
Undergraduate Catalog | 2019-2020 
    
Undergraduate Catalog | 2019-2020 Previous Edition

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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



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