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Understanding the Bias-Variance Tradeoff in Data Science Models
One of the hardest things to do is make models that work well with data that hasn't been seen before. A model that works great on training data but poorly on new data isn't very useful. This is where the idea of ​​the bias-variance tradeoff comes in. It is a basic rule that helps data scientists find the right balance between underfitting and overfitting, which leads to models that are more...
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