Introduction to Machine Learning

Автор: Miroslav Kubat

Език:

Корици: С меки корици

Издател: Springer International Publishing AG

Наличност: Налично при издателя, по поръчка

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58.86 € 115.11 лв

This textbook presents fundamental machine learning concepts in an easy to understand manner by prov...

Информация за книгата

Автор

Miroslav Kubat

Език

Английски език

Корици

Книга - С меки корици

Издадена

2018

страници

348

EAN

9783319876696

Enbook ID

21375695

Издател

Springer International Publishing AG

Теглоt

557

Размери

155 x 235 x 22

Пълно описание

This textbook presents fundamental machine learning concepts in an easy to understand manner by providing practical advice, using straightforward examples, and offering engaging discussions of relevant applications. The main topics include Bayesian classifiers, nearest-neighbor classifiers, linear and polynomial classifiers, decision trees, neural networks, and support vector machines. Later chapters show how to combine these simple tools by way of "boosting," how to exploit them in more complicated domains, and how to deal with diverse advanced practical issues. One chapter is dedicated to the popular genetic algorithms. This revised edition contains three entirely new chapters on critical topics regarding the pragmatic application of machine learning in industry. The chapters examine multi-label domains, unsupervised learning and its use in deep learning, and logical approaches to induction. Numerous chapters have been expanded, and the presentation of the material has been enhanced. The book contains many new exercises, numerous solved examples, thought-provoking experiments, and computer assignments for independent work.

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Introduction to Machine Learning

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