Articoli correlati a Implementation of Machine Learning Algorithms Using...
- EditoreEngineering Science Reference
- Data di pubblicazione2022
- ISBN 10 1799883515
- ISBN 13 9781799883517
- RilegaturaCopertina flessibile
- LinguaInglese
- Numero di pagine296
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Implementation of Machine Learning Algorithms Using Control-Flow and Dataflow Paradigms
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PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Codice articolo L0-9781799883517
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Implementation of Machine Learning Algorithms Using Control-Flow and Dataflow Paradigms
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PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Codice articolo L0-9781799883517
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Implementation of Machine Learning Algorithms Using Control-Flow and Dataflow Paradigms
Editore:
Engineering Science Reference, 2022
ISBN 10: 1799883515
ISBN 13: 9781799883517
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Da: Ria Christie Collections, Uxbridge, Regno Unito
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Implementation of Machine Learning Algorithms Using Control-Flow and Dataflow Paradigms
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Condizione: 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 . Codice articolo 847489864
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Implementation of Machine Learning Algorithms Using Control-flow and Dataflow Paradigms
Editore:
Engineering Science Reference, 2022
ISBN 10: 1799883515
ISBN 13: 9781799883517
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Da: Revaluation Books, Exeter, Regno Unito
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Paperback. Condizione: Brand New. 296 pages. 10.00x7.00x0.50 inches. In Stock. Codice articolo x-1799883515
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Implementation of Machine Learning Algorithms Using Control-Flow and Dataflow Paradigms
Editore:
Engineering Science Reference, 2022
ISBN 10: 1799883515
ISBN 13: 9781799883517
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Da: AHA-BUCH GmbH, Einbeck, Germania
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Taschenbuch. Condizione: 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. Codice articolo 9781799883517
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