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Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning

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Machine Learning for Practical Decision Making - A Multidisciplinary Perspective with Applications from Healthcare, Engineering and Business Analytics (Hardcover, 1st ed. 2022) Loot Price: R3,650

Discovery Miles 36 500

Repayment Terms: R342 pm x 12*

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Machine Learning for Practical Decision Making - A Multidisciplinary Perspective with Applications from Healthcare, Engineering...

Machine Learning for Practical Decision Making - A Multidisciplinary Perspective with Applications from Healthcare, Engineering and Business Analytics (Hardcover, 1st ed. 2022)

Christo El Morr, Manar Jammal, Hossam Ali-Hassan, Walid EI-Hallak

Series: International Series in Operations Research & Management Science, 334

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Loot Price R3,650 Discovery Miles 36 500 | Repayment Terms: R342 pm x 12*

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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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	International Series in Operations Research & Management Science, 334
Release date:	November 2022
First published:	2022
Authors:	Christo El Morr • Manar Jammal • Hossam Ali-Hassan • Walid EI-Hallak
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	465
Edition:	1st ed. 2022
ISBN-13:	978-3-03-116989-2
Categories:	Books > Business & Economics > Economics > General Books > Computing & IT > Social & legal aspects of computing > Health & safety aspects of computing Books > Reference & Interdisciplinary > Communication studies > Decision theory > General Books > Business & Economics > Business & management > Management & management techniques > Operational research Books > Medicine > General issues > Health systems & services > General Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning Promotions
LSN:	3-03-116989-1
Barcode:	9783031169892