Scala for Machine Learning, Second Edition

Table of Contents

1. Getting Started
2. Data pipeline
3. Data pre-processing
4. Clustering
5. Dimension reduction
6. Na
7. Sequential data models
8. Monte Carlo Inference
9. Regression and Regularization
10. Multi-layer perceptron
11. Deep learning
12. Kernel models & support vector machines
13. Evolutionary computing
14. Multi-arm bandits
15. Reinforcement learning
16. Parallelism in Scala and Akka
17. Apache Spark
18. Appendix Basic concepts
19. References