10. Computing with scikit-learn# 10.1. Strategies to scale computationally: bigger data 10.1.1. Scaling with instances using out-of-core learning 10.2. Computational Performance 10.2.1. Prediction Latency 10.2.2. Prediction Throughput 10.2.3. Tips and Tricks 10.3. Parallelism, resource management, and configuration 10.3.1. Parallelism 10.3.2. Configuration switches
