Rutgers University 3 credits Data Science
Introduction to the theory and application of computational techniques for mining big data, especially mathematical and statistical algorithms for discovering patterns from data such as k-nearest-neighbors, clustering and classification. Simple machine learning models like perceptrons, linear and stochastic regression, and support vector machines will also be studied in the context of large, real-world datasets.
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