Rutgers University 3 credits Computer Science
This course provides an overview of machine learning and data mining with a focus on the theory and algorithms underlying a range of tasks including data collection and mining, statistical learning theory and underlying probability theory, decision trees, supervised and unsupervised learning, classification, regression and clustering, deep learning, and the derivation practical solutions using predictive analytics. It will deal with machine learning applications in different fields such as bioinformatics and big data analysis. Prerequisite: 56:198:501 or equivalent.
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