Implementation of Machine Learning Algorithms Using Control-Flow and Dataflow Paradigms

Language: English

Published by Engineering Science Reference, 2022

1799883515 / 9781799883517

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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nach der Bestellung gedruckt Neuware - Printed after ordering - Based on current literature and cutting-edge advances in the machine learning field, there are four algorithms whose usage in new application domains must be explored: neural networks, rule induction algorithms, tree-based algorithms, and density-based algorithms. A number of machine learning related algorithms have been derived from these four algorithms. Consequently, they represent excellent underlying methods for extracting hidden knowledge from unstructured data, as essential data mining tasks. Implementation of Machine Learning Algorithms Using Control-Flow and Dataflow Paradigms presents widely used data-mining algorithms and explains their advantages and disadvantages, their mathematical treatment, applications, energy efficient implementations, and more. It presents research of energy efficient accelerators for machine learning algorithms. Covering topics such as control-flow implementation, approximate computing, and decision tree algorithms, this book is an essential resource for computer scientists, engineers, students and educators of higher education, researchers, and academicians. …

Seller Inventory # 9781799883517

Title
Implementation of Machine Learning Algorithms Using Control-Flow and Dataflow Paradigms
Author
Nenad Miti¿
Publisher
Engineering Science Reference
Publication year
2022
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
1799883515
ISBN 13
9781799883517
Item weight
590 grams
Dimensions
254x178x17 mm

AHA-BUCH GmbH

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