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Index
Cover
Frontmatter
1. Introduction to Machine Learning
2. Logistic Regression for Health Profiling
3. Optimal Scaling: Discretization
4. Optimal Scaling: Regularization Including Ridge, Lasso, and Elastic Net Regression
5. Partial Correlations
6. Mixed Linear Models
7. Binary Partitioning
8. Item Response Modeling
9. Time-Dependent Predictor Modeling
10. Seasonality Assessments
11. Non-linear Modeling
12. Artificial Intelligence, Multilayer Perceptron Modeling
13. Artificial Intelligence, Radial Basis Functions
14. Factor Analysis
15. Hierarchical Cluster Analysis for Unsupervised Data
16. Partial Least Squares
17. Discriminant Analysis for Supervised Data
18. Canonical Regression
19. Fuzzy Modeling
20. Conclusions
Backmatter
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