Title: Machine Learning for Practical Decision Making : A Multidisciplinary Perspective with Applications from Healthcare, Engineering and Business Analytics
Publisher: Springer 2022-11
Publication Date: 2022
Language: English
ISBN 10: 3031169913
ISBN 13: 9783031169915
Binding: PF
Condition: New

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Synopsis

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. Na�ve 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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