Introduction to Machine Learning Lecture notes

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2.6 Regression •Training set X= {(xn,yn)}N n=1 where the label for a pattern xn ∈R D is a real value y n ∈R. In multivariate regression, yn ∈Rd is a real vector. •We assume the labels were produced by applying an unknown function fto the instances, and we want to learn (or estimate) that function using functions hfrom a hypothesis ...

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