9. Computing with scikit-learn# 9.1. Strategies to scale computationally: bigger data 9.1.1. Scaling with instances using out-of-core learning 9.2. Computational Performance 9.2.1. Prediction Latency 9.2.2. Prediction Throughput 9.2.3. Tips and Tricks 9.3. Parallelism, resource management, and configuration 9.3.1. Parallelism 9.3.2. Configuration switches