Title A Brief Introduction to Machine Learning for Engineers Author(s) Osvaldo Simeone Publisher: arxiv.org (May 17, 2018) License(s): arXiv.org - Non-exclusive license to distribute Hardcover/Paperback N/A eBook PDF (206 pages), PostScript. DVI, etc. Language: English ISBN-10: N/A ISBN-13: N/A Book Description This book aims at providing an introduction to key concepts, algorithms, and theoretical frameworks in machine learning, including supervised and unsupervised learning, statistical learning theory, probabilistic graphical models and approximate inference. The intended readership consists of electrical engineers with a background in probability and linear algebra. The treatment builds on first principles, and organizes the main ideas according to clearly defined categories, such as discriminative and generative models, frequentist and Bayesian approaches, exact and approximate inference, directed and undirected models, and co...
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