Large Scale Machine Learning with Python (2016)
Chapter 1. First Steps to Scalability
Chapter 2. Scalable Learning in Scikit-learn
Chapter 3. Fast SVM Implementations
Chapter 4. Neural Networks and Deep Learning
Chapter 5. Deep Learning with TensorFlow
Chapter 6. Classification and Regression Trees at Scale
Chapter 7. Unsupervised Learning at Scale
Chapter 8. Distributed Environments - Hadoop and Spark
Chapter 9. Practical Machine Learning with Spark
Appendix A. Introduction to GPUs and Theano