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The Bias Variance Dilemma Machine Learning at Berkeley  Form

The Bias Variance Dilemma Machine Learning at Berkeley Form

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Hurricane Florence came by while I was working on stat quest dark clouds filled the sky but that didn't stop stat quest stand quest hello I'm Josh stormer and welcome to stat quest today we're going to be talking about some machine learning fundamentals bias and variance and they're gonna be clearly explained imagine we measured the weight and height of a bunch of mice and plotted the data on a graph light mice tend to be short and heavier mice tend to be taller but after a certain weight mice don't get any taller just more obese given this data we would like to predict Mouse height given its weight for example if you told me your mouse weighed this much then we might predict that the mouse is this tall ideally we would know the exact mathematical formula that describes the relationship between weight and height but in this case we don't know the formula so we're going to use two machine learning methods to approximate this relationship however I'll leave the true relationship curve in

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