A Brief Introduction to Machine Learning for Engineers (Paperback)

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 The answer is often "for a general, but slightly outdated introduction, read this book; for a detailed survey of methods based on probabilistic models, check this reference; to learn about statistical learning, this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.

General

Imprint:	Now Publishers Inc
Country of origin:	United States
Series:	Foundations and Trends (R) in Signal Processing
Release date:	November 2018
First published:	2018
Authors:	Osvaldo Simeone
Dimensions:	234 x 156mm (L x W)
Format:	Paperback
Pages:	250
ISBN-13:	978-1-68083-472-7
Categories:	Books > Computing & IT > Applications of computing > Signal processing Promotions
LSN:	1-68083-472-X
Barcode:	9781680834727

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!