| Dewey Class |
658.403 |
| Title |
Machine Learning for Practical Decision Making ( EBook) : A Multidisciplinary Perspective with Applications from Healthcare, Engineering and Business Analytics / / by Christo El Morr, Manar Jammal, Hossam Ali-Hassan, Walid EI-Hallak. |
| Author |
El Morr, Christo |
| Added Personal Name |
Jammal, Manar |
| Ali-Hassan, Hossam |
| EI-Hallak, Walid |
| Other name(s) |
SpringerLink (Online service) |
| Edition statement |
1st ed. 2022. |
| Publication |
Cham : : Springer International Publishing : : Imprint: Springer, , 2022. |
| Physical Details |
XVII, 465 p. 1 illus. : online resource. |
| Series |
International Series in Operations Research & Management Science 2214-7934 ; ; 334 |
| ISBN |
9783031169908 |
| Summary Note |
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.: |
| Contents note |
1. Introduction to Machine Learning -- 2. Statistics -- 3. Overview of Machine Learning Algorithms -- 4. Data Preprocessing -- 5. Data Visualization -- 6. Linear Regression -- 7. Logistic Regression -- 8. Decision Trees -- 9. Naïve Bayes -- 10. K-Nearest Neighbors -- 11. Neural Networks -- 12. K-Means -- 13. Support Vector Machine -- 14. Voting and Bagging -- 15. Boosting and Stacking -- 16. Future Directions and Ethical Considerations. |
| Mode of acces to digital resource |
Digital reproduction.- |
| Cham : |
| Springer International Publishing, |
| 2022. - |
| Mode of access: World Wide Web. System requirements: Internet Explorer 6.0 (or higher) or Firefox 2.0 (or higher). Available as searchable text in PDF format. |
| System details note |
Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users). |
| Internet Site |
https://doi.org/10.1007/978-3-031-16990-8 |
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