Mathematics, 11.06.2020 23:57 Greghairston9813

Suppose you have a dataset with m = 50m=50 examples and n = 200000n=200000 features for each example. You want to use multivariate linear regression to fit the parameters \thetaθ to our data. Should you prefer gradient descent or the normal equation?

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Suppose you have a dataset with m = 50m=50 examples and n = 200000n=200000 features for each example...