The first book of its kind to utilize examples in MATLAB, Statistical Learning Building Knowledge from Data presents students, researchers, and practitioners with an easy-to-read guide to the state-of-the-art techniques that are essential for deconstructing and analyzing complex data. The book provides an interactive understanding of the key areas of statistical learning, including unsupervised learning, supervised learning, dimension reduction, and kernel methods. Reproducible examples and exercises throughout the book promote the relationship between computing and statistical learning. A detailed appendix covers: KGaussian, Smooth SVM, Lagrangian SVM, and more.