May 03, 2024  
2021-2022 Traditional Undergraduate Catalog 
    
2021-2022 Traditional Undergraduate Catalog [ARCHIVED CATALOG]

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DAT 410 - Machine Learning


This course will introduce students to practical machine learning and its applications. It will cover both supervised and unsupervised clustering algorithms and their applications in business problems like market segmentation. Students will also become familiar with artificial neural networks and thier use in prediction modeling.  Software packages and tools related to machine learning algorithms will also be covered.
Prerequisites Complete CSI-270 or CSI-281.
Credits: 3



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