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Machine Learning for Practical Decision Making A Multidisciplinary Perspective with Applications from Healthcare, Engineering and Business Analytics

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 i...

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Bibliographic Details
Main Authors: El Morr, Christo, Jammal, Manar (Author), Ali-Hassan, Hossam (Author), EI-Hallak, Walid (Author)
Format: eBook
Language:English
Published: Cham Springer International Publishing 2022, 2022
Edition:1st ed. 2022
Series:International Series in Operations Research & Management Science
Subjects:
Machine Learning
Health Services Administration
Health Informatics
Operations Research
Medical Informatics
Artificial Intelligence
Health Care Management
Business / Data Processing
Business Analytics
Operations Research And Decision Theory
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
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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