MACHINE LEARNING AND DATA MINING

Catalog description

Introduces machine learning and data mining algorithms and tools that are widely employed in industrial and research settings. Explores supervised learning for prediction problems, both discrete and real-valued; unsupervised learning for clustering data and discovering patterns in data sets; and reinforcement learning for controlling complex processes based on positive and negative feedback. Applies machine learning and data mining techniques to real problems with programming assignments and written homework assignments.