Read A Brief Introduction to Machine Learning for Engineers

A Brief Introduction to Machine Learning for Engineers

Osvaldo Simeone

4.9/5 (25666 ratings)

Description:This monograph aims at providing an introduction to keyconcepts, algorithms, and theoretical results in machine learning.The treatment concentrates on probabilistic modelsfor supervised and unsupervised learning problems. It introducesfundamental concepts and algorithms by buildingon first principles, while also exposing the reader to moreadvanced topics with extensive pointers to the literature,within a unified notation and mathematical framework. Thematerial is organized according to clearly defined categories,such as discriminative and generative models, frequentistand Bayesian approaches, exact and approximate inference,as well as directed and undirected models. This monographis meant as an entry point for researchers with a backgroundin probability and linear algebra.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with A Brief Introduction to Machine Learning for Engineers. To get started finding A Brief Introduction to Machine Learning for Engineers, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

Pages: 234

Format: PDF, EPUB & Kindle Edition

Publisher: —

Release: 2018

ISBN

Description: This monograph aims at providing an introduction to keyconcepts, algorithms, and theoretical results in machine learning.The treatment concentrates on probabilistic modelsfor supervised and unsupervised learning problems. It introducesfundamental concepts and algorithms by buildingon first principles, while also exposing the reader to moreadvanced topics with extensive pointers to the literature,within a unified notation and mathematical framework. Thematerial is organized according to clearly defined categories,such as discriminative and generative models, frequentistand Bayesian approaches, exact and approximate inference,as well as directed and undirected models. This monographis meant as an entry point for researchers with a backgroundin probability and linear algebra.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with A Brief Introduction to Machine Learning for Engineers. To get started finding A Brief Introduction to Machine Learning for Engineers, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

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A Brief Introduction to Machine Learning for Engineers

A Brief Introduction to Machine Learning for Engineers

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