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Diego Molla
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Machine Learning Crash Course: Part 4 - The Bias-Variance Dilemma

So what does this have to do with machine learning? Well, it turns out that machine learning algorithms are not that much different from our friend Doge: they often run the risk of over-extrapolating or over-interpolating from the data that they are trained on.

link: https://ml.berkeley.edu/blog/2017/07/13/tutorial-4
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