In machine learning, it's also that you actually handle a lot of data frames or a matrices from one node to the other. Is it also then a question of making sure that they come in the right format so that the whole system doesn't fall over? That's more the data checking part. If you have deterministic processing, then you should be able to do exact checks.
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Nick Radcliffe, data scientist and entrepreneur, talks to us about the importance of test your data. As software engineers we are familiar with test driven development. Test driven data analysis puts the same emphasis on validating and testing data for your AI app. We also dive into the Python library of the same name tdda.
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