Mastering Azure Machine Learning - Second Edition

Chapter 12: Distributed Machine Learning on Azure

In the previous chapter, we learned about hyperparameter tuning through search and optimization, using HyperDrive as well as Automated Machine Learning as a special case of hyperparameter optimization, involving feature engineering, model selection, and model stacking. Automated Machine Learning is machine learning as a service (MLaaS), whereby the only input is your data, an ML task, and an error metric. It's hard to imagine running all experiments and parameter combinations for Automated Machine Learning on a single machine or a single CPU/GPUwe are looking into ways to speed up the training process through parallelization and distributed computing.

In this chapter, we will look into distributed ...