Share
Machine Learning for Practical Decision Making: A Multidisciplinary Perspective with Applications from Healthcare, Engineering and Business Analytics (in English)
Christo El Morr
(Author)
·
Manar Jammal
(Author)
·
Hossam Ali-Hassan
(Author)
·
Springer
· Hardcover
Machine Learning for Practical Decision Making: A Multidisciplinary Perspective with Applications from Healthcare, Engineering and Business Analytics (in English) - El Morr, Christo ; Jammal, Manar ; Ali-Hassan, Hossam
$ 123.15
$ 129.99
You save: $ 6.84
Choose the list to add your product or create one New List
✓ Product added successfully to the Wishlist.
Go to My Wishlists
It will be shipped from our warehouse between
Friday, May 24 and
Monday, May 27.
You will receive it anywhere in United States between 1 and 3 business days after shipment.
Synopsis "Machine Learning for Practical Decision Making: A Multidisciplinary Perspective with Applications from Healthcare, Engineering and Business Analytics (in English)"
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.
