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How to turn your dog's nap time into a regularized linear model

When you’re building a machine learning model you’re faced with the bias-variance tradeoff, where you have to find the balance between having a model that: Is very expressive and captures the real patterns in the data. Generates predictions that are not too far off from the actual values, A model that is very expressive has a low […]
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