Librería: Books Puddle, New York, NY, Estados Unidos de America
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Librería: preigu, Osnabrück, Alemania
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Añadir al carritoTaschenbuch. Condición: Neu. Introduction to Machine Learning | Supervised and Unsupervised Learning | Rajkumar Banoth (u. a.) | Taschenbuch | Englisch | 2021 | Scholars' Press | EAN 9786138964193 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Idioma: Inglés
Publicado por Scholars' Press Nov 2021, 2021
ISBN 10: 6138964195 ISBN 13: 9786138964193
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In the field of Artificial Intelligence and Machine Learning refers to 'train the machine for getting more accurate results in automation'. Today everything is going on with Machine Learning which means that any industry like medical, agriculture and finance uses the ML models to get more accurate and continues results.To fulfill the need of implementation of Machine Learning models, this kind of book long awaited. This book contains few important aspects of Machine Learning, like: Introduction to Machine Learning, Supervised and Unsupervised Learning, Ensemble and Probabilistic Learning, Reinforcement Learning and Evaluating Hypotheses, Genetic Algorithms. Efforts have been made to present the precise and concrete understanding of subject. We hope that students will recognize and grasp fundamentals, various models and core themes of Machine Learning. 192 pp. Englisch.
Librería: moluna, Greven, Alemania
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Banoth RajkumarDr. Banoth Rajkumar received B.Tech degree from National Institute of Technology in the Department of CSE. He received M.Tech and PhD from JNTUH. He has Published 18 Hi-indexed SCI and Scopus In.Journals, He Pres.
Librería: Majestic Books, Hounslow, Reino Unido
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Librería: Biblios, Frankfurt am main, HESSE, Alemania
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Añadir al carritoCondición: New. PRINT ON DEMAND.
Idioma: Inglés
Publicado por Scholars' Press Nov 2021, 2021
ISBN 10: 6138964195 ISBN 13: 9786138964193
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 79,90
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In the field of Artificial Intelligence and Machine Learning refers to ¿train the machine for getting more accurate results in automation¿. Today everything is going on with Machine Learning which means that any industry like medical, agriculture and finance uses the ML models to get more accurate and continues results.To fulfill the need of implementation of Machine Learning models, this kind of book long awaited. This book contains few important aspects of Machine Learning, like: Introduction to Machine Learning, Supervised and Unsupervised Learning, Ensemble and Probabilistic Learning, Reinforcement Learning and Evaluating Hypotheses, Genetic Algorithms. Efforts have been made to present the precise and concrete understanding of subject. We hope that students will recognize and grasp fundamentals, various models and core themes of Machine Learning.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 192 pp. Englisch.
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 80,86
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Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In the field of Artificial Intelligence and Machine Learning refers to 'train the machine for getting more accurate results in automation'. Today everything is going on with Machine Learning which means that any industry like medical, agriculture and finance uses the ML models to get more accurate and continues results.To fulfill the need of implementation of Machine Learning models, this kind of book long awaited. This book contains few important aspects of Machine Learning, like: Introduction to Machine Learning, Supervised and Unsupervised Learning, Ensemble and Probabilistic Learning, Reinforcement Learning and Evaluating Hypotheses, Genetic Algorithms. Efforts have been made to present the precise and concrete understanding of subject. We hope that students will recognize and grasp fundamentals, various models and core themes of Machine Learning.