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MACHINE LEARNING FOR PRACTICAL DECISION MAKING IBD

SPRINGER
11 / 2022
9783031169892
Inglés

Sinopsis

This book provides a hands-on introduction to Machine Learning (ML) from a multidisciplinary perspectiveáthat does not requireáa 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.áThe 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.