CIO Dive article: How to train, test and maintain AI and machine learning models

Building a machine-learning model is the easy part — training it, testing it, and keeping it accurate as the data shifts underneath is where the work lives. Here’s our walk through the full AI and machine-learning lifecycle, from training, validation and testing to spotting the performance drift that quietly degrades a model over time.

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