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1. Introduction
2. General Matters
3. K Nearest Neighbours
4. K Means Clustering
5. Naive Bayes Classifier
6. Regression Methods
7. Support Vector Machines
8. Self-Organizing Maps
9. Decision Trees
10. Neural Networks
11. Reinforcement Learning
Datasets
Epilogue
Index