A Brief Introduction to Machine Learning for Engineers by Osvaldo Simeone (Paperback, 2018)

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This presents the problem of where the engineer should start. A Brief Introduction to Machine Learning for Engineers is the entry point to machine learning for students, practitioners, and researchers with an engineering background in probability and linear algebra.

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There is a wealth of literature and books available to engineers starting to understand what machine learning is and how it can be used in their everyday work. This presents the problem of where the engineer should start. The answer is often for a general, but slightly outdated introduction, read this book; for a detailed survey of methods based on probabilistic models, check this reference; to learn about statistical learning, this text is useful and so on. This monograph provides the starting point to the literature that every engineer new to machine learning needs. It offers a basic and compact reference that describes key ideas and principles in simple terms and within a unified treatment, encompassing recent developments and pointers to the literature for further study. A Brief Introduction to Machine Learning for Engineers is the entry point to machine learning for students, practitioners, and researchers with an engineering background in probability and linear algebra.

Product Identifiers

PublisherNow Publishers INC International Concepts
ISBN-139781680834727
eBay Product ID (ePID)19046667654

Product Key Features

Number of Pages250 Pages
LanguageEnglish
Publication NameA Brief Introduction to Machine Learning for Engineers
Publication Year2018
SubjectComputer Science
TypeTextbook
AuthorOsvaldo Simeone
SeriesFoundations and Trends (R) in Signal Processing
FormatPaperback

Dimensions

Item Height234 mm
Item Weight359 g
Item Width156 mm

Additional Product Features

Country/Region of ManufactureUnited States
Title_AuthorOsvaldo Simeone

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