Machine Learning

Catalog description

A comprehensive study of machine learning algorithms. The main objectives of this courses are to provide students with an in-depth introduction to machine learning theory and methods and an exploration of research problems in machine learning and its applications. The topics include supervised learning, including various classification algorithms, unsupervised learning, including clustering algorithms, feature engineering and analysis, and genetic algorithms.