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Machine Learning for Practical Decision Making

- A Multidisciplinary Perspective with Applications from Healthcare, Engineering and Business Analytics
Af: Christo El Morr, Walid EI-Hallak, Manar Jammal, Hossam Ali-Hassan Engelsk Hardback

Machine Learning for Practical Decision Making

- A Multidisciplinary Perspective with Applications from Healthcare, Engineering and Business Analytics
Af: Christo El Morr, Walid EI-Hallak, Manar Jammal, Hossam Ali-Hassan Engelsk Hardback
Tjek vores konkurrenters priser

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.


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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.


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Se mere i:
Produktdetaljer
Sprog: Engelsk
Sider: 465
ISBN-13: 9783031169892
Indbinding: Hardback
Udgave:
ISBN-10: 3031169891
Kategori: Sundhedsøkonomi
Udg. Dato: 30 nov 2022
Længde: 0mm
Bredde: 155mm
Højde: 235mm
Forlag: Springer International Publishing AG
Oplagsdato: 30 nov 2022
Forfatter(e): Christo El Morr, Walid EI-Hallak, Manar Jammal, Hossam Ali-Hassan
Forfatter(e) Christo El Morr, Walid EI-Hallak, Manar Jammal, Hossam Ali-Hassan

Kategori Sundhedsøkonomi

ISBN-13 9783031169892

Sprog Engelsk

Indbinding Hardback

Sider 465

Udgave

Længde 0mm

Bredde 155mm

Højde 235mm

Udg. Dato 30 nov 2022

Oplagsdato 30 nov 2022

Forlag Springer International Publishing AG