Scala for Machine Learning

Table of Contents

1. Getting Started
2. Hello World
3. Data preprocessing
4. Unsupervised Learning
5. Naïve Bayes Classifiers
6. Regression and Regularization
7. Sequential Data Models HMM and CRF
8. Kernel models and Support Vector Machines
9. Artificial Neural Networks
10. Genetic Algorithms
11. Reinforcement learning
12. Scalable Frameworks
13. Appendix: Appendix
14. Appendix B