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MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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(c) The Hypothesis function for Univariate Linear Regression is y = wo +W1x. The cost function associated with this hypothesis function h, parametrised by some wo and W1, is E,(y) – hw(x))², where y) and x) represent the output and input values of the ith training example. (i) Write out and provide an explanation for the general form of the hypothesis function and cost function of Linear Regression in two variables. (ii) Similarly, write out and provide an explanation for the general form of the hypothesis function for Univariate Non-linear Regression. Assume that the non-linear hypothesis function is a quadratic.
Transcribed Image Text:(c) The Hypothesis function for Univariate Linear Regression is y = wo +W1x. The cost function associated with this hypothesis function h, parametrised by some wo and W1, is E,(y) – hw(x))², where y) and x) represent the output and input values of the ith training example. (i) Write out and provide an explanation for the general form of the hypothesis function and cost function of Linear Regression in two variables. (ii) Similarly, write out and provide an explanation for the general form of the hypothesis function for Univariate Non-linear Regression. Assume that the non-linear hypothesis function is a quadratic.
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