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

 
9781799883517: Implementation of Machine Learning Algorithms Using Control-Flow and Dataflow Paradigms
  • PublisherBusiness Science Reference
  • Publication date2022
  • ISBN 10 1799883515
  • ISBN 13 9781799883517
  • BindingPaperback
  • LanguageEnglish
  • Number of pages305

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9781799883500: Implementation of Machine Learning Algorithms Using Control-Flow and Dataflow Paradigms (Advances in Systems Analysis, Software Engineering, and High Performance Computing)

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ISBN 10:  1799883507 ISBN 13:  9781799883500
Publisher: Business Science Reference, 2022
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Veljko Milutinovic
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Veljko Milutinovic
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Milutinovic, Veljko; Mitic, Nenad; Kartelj, Aleksandar
Published by Engineering Science Reference, 2022
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Veljko Milutinovic|Nenad Mitic|Aleksandar Kartelj|Milos Kotlar
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents widely used data-mining algorithms and explains their advantages and disadvantages, their mathematical treatment, applications, energy efficient implementations, and more. The presents research of energy efficient accelerators for machine learning . Seller Inventory # 847489864

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Milutinovic, Veljko/ Mitic, Nenad/ Kartelj, Aleksandar/ Kotlar, Milos
Published by Engineering Science Reference, 2022
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Paperback. Condition: Brand New. 296 pages. 10.00x7.00x0.50 inches. In Stock. Seller Inventory # x-1799883515

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Taschenbuch. Condition: Neu. 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

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