Remove 2031 Remove Cross Validation Remove Hadoop
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Must-Have Skills for a Machine Learning Engineer

Pickl AI

billion by 2031, growing at a CAGR of 34.20%. Key concepts include: Cross-validation Cross-validation splits the data into multiple subsets and trains the model on different combinations, ensuring that the evaluation is robust and the model doesn’t overfit to a specific dataset.