Book Content
chapters • 14h total length
1. First Steps to Scalability
2. Scalable Learning in Scikit Learn
3. Fast learning SVM
4. Neural Networks & Deep Learning
5. Deep learning with Tensorflow
6. CART at scale
7. Unsupervised Learning at Scale
8. Distributed environments: Hadoop and Spark
9. Practical Machine Learning with Spark and Python
