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Machine Learning for Practical Decision Making 1st Edition by Christo El Morr, Manar Jammal, Hossam Ali Hassan, Walid EI Hallak ISBN 9783031169892 3031169891

Name: Machine Learning for Practical Decision Making 1st Edition by Christo El Morr, Manar Jammal, Hossam Ali Hassan, Walid EI Hallak ISBN 9783031169892 3031169891
SKU: EB-48702782
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Machine Learning for Practical Decision Making: A Multidisciplinary Perspective with Applications from Healthcare, Engineering and Business Analytics Christo El Morr Digital Instant Download

Author(s): Christo El Morr, Manar Jammal, Hossam Ali-Hassan, Walid EI-Hallak

ISBN(s): 9783031169892, 3031169891

Edition: 1st ed. 2022

File Details: PDF, 23.54 MB

Year: 2022

Language: English

SKU: EB-48702782 Category: Uncategorized Tags: Christo El Morr, Hossam Ali-Hassan, Manar Jammal, Walid EI-Hallak

Description

Machine Learning for Practical Decision Making 1st Edition by Christo El Morr, Manar Jammal, Hossam Ali Hassan, Walid EI Hallak – Ebook PDF Instant Download/Delivery: 9783031169892 ,3031169891
Full download Machine Learning for Practical Decision Making 1st Edition after payment

Cover image: Machine Learning for Practical Decision Making

Product details:

ISBN 10: 3031169891
ISBN 13: 9783031169892
Author: Christo El Morr, Manar Jammal, Hossam Ali Hassan, Walid EI Hallak

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.

Machine Learning for Practical Decision Making 1st Edition Table of contents:

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

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Tags: Christo El Morr, Manar Jammal, Hossam Ali Hassan, Walid EI Hallak, Practical Decision Making