I.H.Written, E.Frank, M.Hall, C.J.Pal Highlights Explains how machine learning algorithms for data mining work. Helps you compare and evaluate the results of different techniques. Covers performance improvement techniques, including input preprocessing and combining output from different methods. Features in-depth information on probabilistic models and deep learning. Provides an introduction to the Weka machine learning workbench and links to algorithm implementations in the software.