ITS 36500 - Applied Machine Learning

Prerequisite(s): (ITS 14000 FOR LEVEL UG WITH MIN. GRADE OF D- OR CS 12300 FOR LEVEL UG WITH MIN. GRADE OF D-) AND STAT 30100 FOR LEVEL UG WITH MIN. GRADE OF D-

Credit Hours: 3.00. This course provides a basic introduction to the machine learning and deep learning pipeline and concepts. Topics covered include: Machine learning uses and applications; machine learning and deep learning algorithms; data set requirements; data annotation, and validation; data representation formats; features and feature representation and extraction; the vector space model; traditional machine learning algorithms; machine learning and deep learning algorithm programming; evaluation methods; introduction to deep learning algorithms such as convolutional neural networks, auto encoders, and deep reinforcement learning; statistical significance-based analysis of machine learning methods; and other Artificial Intelligence special topics.

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