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Mar 29, 2024
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ITCS 6156 - Machine Learning Machine learning has been successfully applied to many different areas such as autonomous control of cars and robots, natural language processing, image recognition, health science, biology, and data mining. This course introduces fundamental concepts and methods to learn from data for computational data analysis, including pattern recognition, prediction, and visualization. For this, supervised learning, unsupervised learning, and reinforcement learning, as well as techniques including clustering, classification, support vector machines, and neural networks are covered.
Credit Hours: (3) Most Recently Offered (Day): Fall 2018, Second Summer 2018, Spring 2018 Most Recently Offered (Evening): Second Summer 2017, Second Summer 2016, Fall 2015
Schedule of Classes
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