Machine Learning for Practical Decision Making

Machine Learning for Practical Decision Making

A Multidisciplinary Perspective with Applications from Healthcare, Engineering and Business Analytics

El Morr, Christo; Jammal, Manar; EI-Hallak, Walid; Ali-Hassan, Hossam

Springer International Publishing AG

11/2022

465

Dura

Inglês

9783031169892

15 a 20 dias

887

Descrição não disponível.
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. Naive 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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Machine Learning;Decision Making;Healthcare;Engineering;Business Analytics