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Ajouter au panierEtat : New. 1st ed. 2022 edition NO-PA16APR2015-KAP.
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Ajouter au panierEtat : New.
Langue: anglais
Edité par Springer, Berlin|Springer International Publishing|Springer, 2023
ISBN 10 : 3031169891 ISBN 13 : 9783031169892
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Ajouter au panierEtat : Hervorragend. Zustand: Hervorragend | Seiten: 484 | Sprache: Englisch | Produktart: Bücher | 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.
Langue: anglais
Edité par Springer International Publishing, Springer Nature Switzerland Nov 2022, 2022
ISBN 10 : 3031169891 ISBN 13 : 9783031169892
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Ajouter au panierBuch. Etat : 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.
Langue: anglais
Edité par Springer International Publishing, Springer Nature Switzerland, 2022
ISBN 10 : 3031169891 ISBN 13 : 9783031169892
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Ajouter au panierBuch. Etat : 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.
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Ajouter au panierHardcover. Etat : Brand New. 465 pages. 9.50x6.25x1.25 inches. In Stock.
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Ajouter au panierPAP. Etat : New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Ajouter au panierPAP. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Langue: anglais
Edité par Springer International Publishing, Springer International Publishing Nov 2022, 2022
ISBN 10 : 3031169891 ISBN 13 : 9783031169892
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Ajouter au panierBuch. Etat : 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.
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Ajouter au panierBuch. Etat : Neu. Machine Learning for Practical Decision Making | A Multidisciplinary Perspective with Applications from Healthcare, Engineering and Business Analytics | Christo El Morr (u. a.) | Buch | xvii | Englisch | 2022 | Springer | EAN 9783031169892 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.