A Brief Introduction to Machine Learning for Engineers (Foundations and Trends(r) in Signal Processing)

Simeone, Osvaldo

ISBN 10: 168083472X / ISBN 13: 9781680834727

Edité par Now Publishers, 2018

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N° de réf. du vendeur ABLIING23Mar2811580338266

Détails bibliographiques

• Titre: A Brief Introduction to Machine Learning for Engineers (Foundations and Trends(r) in Signal Processing)
• Éditeur: Now Publishers
• Date de parution: 2018
• Langue: anglais
• ISBN à 10 chiffres: 168083472X
• ISBN à 13 chiffres: 9781680834727
• Reliure: Couverture souple
• État de l'article: New

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 The answer is often "for a general, but slightly outdated introduction, read this book; for a detailed survey of methods based on probabilistic models, check this reference; to learn about statistical learning, this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