Consider regression in one dimension, with a data set {(x',y') }i= 1,2,.m a) Find a linear model that minimizes the training error, i.e w and ß to minimize f(x) given that: m f(x) = > (wx; + ß – yı)? i=1

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Consider regression in one dimension, with a data set {(x',y') }i= 1,2,.m
a) Find a linear model that minimizes the training error, i.e w and ß to minimize f(x) given that:
m
f(x) = > (wx; + ß – yı)?
i=1
Transcribed Image Text:Consider regression in one dimension, with a data set {(x',y') }i= 1,2,.m a) Find a linear model that minimizes the training error, i.e w and ß to minimize f(x) given that: m f(x) = > (wx; + ß – yı)? i=1
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