Linear Regression and Support Vector Regression
Linear Regression •Given data with n dimensional variables and 1 target-variable (real number) Where •The objective: Find a function f that returns the best fit. •Assume that the relationship between X and y is approximately linear. The model can be represented as (w represents coefficients and b is an intercept) {( x 1, y 1), ( x 2, y
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