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Machine Learning for Practical Decision Making

Machine Learning for Practical Decision Making

Christo El Morr / Hossam Ali-Hassan / Manar Jammal

46,91 €
IVA incluido
Disponible
Editorial:
Springer Nature B.V.
Año de edición:
2022
Materia
Gestión y técnicas de gestión
ISBN:
9783031169915
46,91 €
IVA incluido
Disponible

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Sobre IBD

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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Otros libros del autor

  • Machine Learning for Practical Decision Making
    Christo El Morr / Hossam Ali-Hassan / Manar Jammal
    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 r...