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A Brief Introduction to Machine Learning for Engineers (Foundations and Trends (R) in Signal Processing): 32 (Foundations and Trends® in Signal Processing) - Softcover
Synopsis
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 The answer is often “for a general, but slightly outdated introduction, read this book; for a detailed survey of methods based on probabilistic models, check this reference; to learn about statistical learning, this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.
"synopsis" may belong to another edition of this title.
- Publishernow publishers Inc
- Publication date2018
- ISBN 10 168083472X
- ISBN 13 9781680834727
- BindingPaperback
- LanguageEnglish
- Number of pages250
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