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Osvaldo Simeone
released
A Brief Introduction to Machine Learning for Engineers
A compact introductory monograph on machine learning aimed at engineers, covering supervised and unsupervised learning, probabilistic models, statistical learning theory, graphical models, and approximate inference.
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About A Brief Introduction to Machine Learning for Engineers
Written by Osvaldo Simeone, this 2018 monograph introduces core machine-learning concepts for readers with an engineering background in probability and linear algebra. It was published by now publishers as part of Foundations and Trends in Signal Processing, volume 12, issues 3-4, and surveys key ideas including discriminative and generative models, frequentist and Bayesian approaches, inference methods, and theoretical foundations.
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