Download Machine Learning for Engineers by Osvaldo Simeone (.PDF)

A Brief Introduction to Machine Learning for Engineers by Osvaldo Simeone
Requirements: PDF Reader, 2 MB
Overview: 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.
Genre: Non-Fiction > Educational

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