A Brief Introduction to Machine Learning for Engineers

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文件名称：A Brief Introduction to Machine Learning for Engineers
文件大小：1.86MB
文件格式：RAR
更新时间：2022-02-22 19:20:17
Machine lear A Brief Introduction to Machine Learning for Engineers (Foundations and Trends(r) in Signal Processing) By 作者: Osvaldo Simeone ISBN-10 书号: 168083472X ISBN-13 书号: 9781680834727 出版日期: 2018-08-14 pages 页数: (250 ) $99 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 The answer is often “for a general, but slightly outdated introduction, read this book; for a detailed survey of methods based on probabilistic models, check this reference; to learn about statistical learning, this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.

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