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Machine Learning for Practical Decision Making
A Multidisciplinary Perspective with Applications from Healthcare, Engineering and Business Analytics
Christo El Morr, Manar Jammal, Hossam Ali-Hassan, Walid Ei-Hallak
126,95 €
+ 253 points
Description
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.
Spécifications
Parties prenantes
- Auteur(s) :
- Editeur:
Contenu
- Nombre de pages :
- 465
- Langue:
- Anglais
- Collection :
- Tome:
- n° 334
Caractéristiques
- EAN:
- 9783031169892
- Date de parution :
- 30-11-22
- Format:
- Livre relié
- Format numérique:
- Genaaid
- Dimensions :
- 156 mm x 234 mm
- Poids :
- 848 g
