Cloud Benchmark

Comparing the offerings of Machine Learning as a Service

To deploy machine learning algorithms successfully, you’ll need both large data sets and powerful hardware to train them. During the development phase, it pays to have access to as much processing power as you can muster — because that enables experimentation systematically with different hyperparameter values. As a result, you may find that it makes sense to utilize cloud resources for a limited period.

In this ebook, we’ll outline the principal services offered by Amazon Web Services, Google Cloud Platform and Microsoft Azure and describe their typical application scenarios.

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