© Kevin Ashley 2020
K. AshleyApplied Machine Learning for Health and Fitnesshttps://doi.org/10.1007/978-1-4842-5772-2_11

11. Machine Learning in the Cloud

Kevin Ashley1  
(1)
Belmont, CA, USA
 

Overview

The bulk of machine learning compute tasks today happen in the data centers. As a data scientist, you may have started your research on your local computer, playing with various models, frameworks, and sets of data, but there’s a good chance that when your project reaches the stage when people start using it, your experiments may need resources that only the cloud provides. The goal of this chapter is to go over some examples of how to deploy your data science project to the cloud (Figure 11-1), store data, train your models, and ultimately give your ...

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