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Synopsis
Machine learning (ML) is a branch of artificial intelligence (AI) that enables computers to “self-learn” from training data and improve over time, without being explicitly programmed. Machine learning algorithms are able to detect patterns in data and learn from them, in order to make their own predictions. This book provides a single source introduction to the primary approaches to machine learning. It is intended for advanced undergraduate and graduate students, as well as for developers and researchers in the field. No prior background in artificial intelligence or statistics is assumed.Real-World Machine Learning is a practical guide designed to teach working developers the art of ML project execution. Without overdosing you on academic theory and complex mathematics, it introduces the day-to-day practice of machine learning, preparing you to successfully build and deploy powerful ML systems.The contents of this book is designed for beginners with some background knowledge of data science, including classical statistics and computing programming.
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MACHINE LEARNING
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Scholars' Press Aug 2022, 2022
ISBN 10 : 6138909763
ISBN 13 : 9786138909767
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Machine learning (ML) is a branch of artificial intelligence (AI) that enables computers to 'self-learn' from training data and improve over time, without being explicitly programmed. Machine learning algorithms are able to detect patterns in data and learn from them, in order to make their own predictions. This book provides a single source introduction to the primary approaches to machine learning. It is intended for advanced undergraduate and graduate students, as well as for developers and researchers in the field. No prior background in artificial intelligence or statistics is assumed.Real-World Machine Learning is a practical guide designed to teach working developers the art of ML project execution. Without overdosing you on academic theory and complex mathematics, it introduces the day-to-day practice of machine learning, preparing you to successfully build and deploy powerful ML systems.The contents of this book is designed for beginners with some background knowledge of data science, including classical statistics and computing programming. 144 pp. Englisch. N° de réf. du vendeur 9786138909767
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MACHINE LEARNING
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Scholars\' Press, 2022
ISBN 10 : 6138909763
ISBN 13 : 9786138909767
Neuf
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Selvam Dr.L.1Dr.L.Selvam,Professor & Head/IT, K.S.R.Institute for Engineering and Technology, Tamil Nadu 637215.India.2Dr.P.Mohan Kumar,Professor/CSE,Sri Krishna College of Engineering and Technology, Tamil Nadu-641008.3Dr.Linda Jose. N° de réf. du vendeur 705445550
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MACHINE LEARNING : Principles and Applications
impression à la demandeVendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Machine learning (ML) is a branch of artificial intelligence (AI) that enables computers to 'self-learn' from training data and improve over time, without being explicitly programmed. Machine learning algorithms are able to detect patterns in data and learn from them, in order to make their own predictions. This book provides a single source introduction to the primary approaches to machine learning. It is intended for advanced undergraduate and graduate students, as well as for developers and researchers in the field. No prior background in artificial intelligence or statistics is assumed.Real-World Machine Learning is a practical guide designed to teach working developers the art of ML project execution. Without overdosing you on academic theory and complex mathematics, it introduces the day-to-day practice of machine learning, preparing you to successfully build and deploy powerful ML systems.The contents of this book is designed for beginners with some background knowledge of data science, including classical statistics and computing programming. N° de réf. du vendeur 9786138909767
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MACHINE LEARNING | Principles and Applications
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Taschenbuch. Etat : Neu. MACHINE LEARNING | Principles and Applications | L. Selvam (u. a.) | Taschenbuch | Englisch | 2022 | Scholars' Press | EAN 9786138909767 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. N° de réf. du vendeur 124273104
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MACHINE LEARNING
Edité par
Scholars' Press Aug 2022, 2022
ISBN 10 : 6138909763
ISBN 13 : 9786138909767
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Machine learning (ML) is a branch of artificial intelligence (AI) that enables computers to 'self-learn' from training data and improve over time, without being explicitly programmed. Machine learning algorithms are able to detect patterns in data and learn from them, in order to make their own predictions. This book provides a single source introduction to the primary approaches to machine learning. It is intended for advanced undergraduate and graduate students, as well as for developers and researchers in the field. No prior background in artificial intelligence or statistics is assumed.Real-World Machine Learning is a practical guide designed to teach working developers the art of ML project execution. Without overdosing you on academic theory and complex mathematics, it introduces the day-to-day practice of machine learning, preparing you to successfully build and deploy powerful ML systems.The contents of this book is designed for beginners with some background knowledge of data science, including classical statistics and computing programming.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 144 pp. Englisch. N° de réf. du vendeur 9786138909767
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MACHINE LEARNING: Principles and Applications
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paperback. Etat : New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book. N° de réf. du vendeur ERICA82961389097636
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