Da: Ria Christie Collections, Uxbridge, Regno Unito
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Da: Chiron Media, Wallingford, Regno Unito
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Editore: Springer International Publishing, 2022
ISBN 10: 3031169891 ISBN 13: 9783031169892
Lingua: Inglese
Da: Buchpark, Trebbin, Germania
Condizione: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher.
Da: Books Puddle, New York, NY, U.S.A.
EUR 116,70
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Da: ALLBOOKS1, Direk, SA, Australia
EUR 125,07
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Aggiungi al carrelloBrand new book. Fast ship. Please provide full street address as we are not able to ship to P O box address.
Editore: Springer, Berlin|Springer International Publishing|Springer, 2023
ISBN 10: 3031169891 ISBN 13: 9783031169892
Lingua: Inglese
Da: moluna, Greven, Germania
EUR 115,65
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Da: Majestic Books, Hounslow, Regno Unito
EUR 120,11
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Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 126,50
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 127,35
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Da: California Books, Miami, FL, U.S.A.
EUR 145,59
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Editore: Springer International Publishing, Springer Nature Switzerland, 2022
ISBN 10: 3031169891 ISBN 13: 9783031169892
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 139,09
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Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides a hands-on introduction to Machine Learning (ML) from a multidisciplinary perspectivethat does not requirea background in data science or computer science. It explains ML using simple language and a straightforward approach guided by real-world examples in areas such as health informatics, information technology, and business analytics.The book will help readers understand the various key algorithms, major software tools, and their applications. Moreover, through examples from the healthcare and business analytics fields, it demonstrates how and when ML can help them make better decisions in their disciplines.The book is chiefly intended for undergraduate and graduate students who are taking an introductory course in machine learning. It will also benefit data analysts and anyone interested in learning ML approaches.
Editore: Springer International Publishing, Springer Nature Switzerland Nov 2022, 2022
ISBN 10: 3031169891 ISBN 13: 9783031169892
Lingua: Inglese
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 139,09
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Aggiungi al carrelloBuch. Condizione: Neu. Neuware -This book provides a hands-on introduction to Machine Learning (ML) from a multidisciplinary perspective that does not require a background in data science or computer science. It explains ML using simple language and a straightforward approach guided by real-world examples in areas such as health informatics, information technology, and business analytics. The book will help readers understand the various key algorithms, major software tools, and their applications. Moreover, through examples from the healthcare and business analytics fields, it demonstrates how and when ML can help them make better decisions in their disciplines.The book is chiefly intended for undergraduate and graduate students who are taking an introductory course in machine learning. It will also benefit data analysts and anyone interested in learning ML approaches.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 484 pp. Englisch.
Da: Revaluation Books, Exeter, Regno Unito
EUR 194,19
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Aggiungi al carrelloHardcover. Condizione: Brand New. 465 pages. 9.50x6.25x1.25 inches. In Stock.
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 54,51
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Aggiungi al carrelloPAP. 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.
Da: PBShop.store US, Wood Dale, IL, U.S.A.
EUR 60,06
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Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Editore: Springer International Publishing, Springer International Publishing Nov 2022, 2022
ISBN 10: 3031169891 ISBN 13: 9783031169892
Lingua: Inglese
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 139,09
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Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book provides a hands-on introduction to Machine Learning (ML) from a multidisciplinary perspectivethat does not requirea background in data science or computer science. It explains ML using simple language and a straightforward approach guided by real-world examples in areas such as health informatics, information technology, and business analytics.The book will help readers understand the various key algorithms, major software tools, and their applications. Moreover, through examples from the healthcare and business analytics fields, it demonstrates how and when ML can help them make better decisions in their disciplines.The book is chiefly intended for undergraduate and graduate students who are taking an introductory course in machine learning. It will also benefit data analysts and anyone interested in learning ML approaches. 484 pp. Englisch.