How to choose a cloud machine learning platform

In order to create effective machine learning and deep learning models, you need copious amounts of data, a way to clean the data and perform feature engineering on it, and a way to train models on your data in a reasonable amount of time. Then you need a way to deploy your models, monitor them for drift over time, and retrain them as needed.

You can do all of that on-premises if you have invested in compute resources and accelerators …

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