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

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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Detalles Bibliográficos
Autor principal: El Morr, Christo (-)
Otros Autores: Jammal, Manar, Ali-Hassan, Hossam, EI-Hallak, Walid
Formato: Libro electrónico
Idioma:Inglés
Publicado: Cham : Springer International Publishing 2022.
Edición:1st ed. 2022.
Colección:Springer eBooks.
International Series in Operations Research & Management Science ; 334.
Acceso en línea:Conectar con la versión electrónica
Ver en Universidad de Navarra:https://innopac.unav.es/record=b47355852*spi
Tabla de Contenidos:
  • 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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