Machine Learning and Knowledge Discovery

Prerequisite: CSCI 2913; CSCI 2301; MATH 1123; MATH 3305.

Machine learning is the science of data mining and knowledge discovery using algorithms that enable computers to develop knowledge from empirical data. In the past decade, machine learning methodologies have successfully enabled computers to recognize speech and hand-written characters, to convert spoken words to text, to effectively search for information, and to recommend products, books, or movies we may like. Topics include linear and logistic regression, clustering, Bayesian methods, support vector machines, kernel methods, decision trees, and learning theory.

Credit: 3