Machine Learning for Practical Decision Making
A Multidisciplinary Perspective with Applications from Healthcare, Engineering and Business Analytics
Christo El Morr author Manar Jammal author Hossam Ali-Hassan author Walid EI-Hallak author
Format:Hardback
Publisher:Springer International Publishing AG
Published:30th Nov '22
Currently unavailable, and unfortunately no date known when it will be back
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.
ISBN: 9783031169892
Dimensions: unknown
Weight: unknown
465 pages
1st ed. 2022