Machine Learning You are given the scatter of points (x,y) = (1, 1.5), (4, 3.5), (7, 9), (10, 8). Set up an optimization problem to perform linear regression by hand along the lines of the previous problem by defining theta, etc. Then perform hand calculations to implement linear regression using gradient descent, and report the optimal value of theta that you obtain and what that means. Again, list all the steps - 1, 2,...etc. without omitting any details.

Operations Research : Applications and Algorithms
4th Edition
ISBN:9780534380588
Author:Wayne L. Winston
Publisher:Wayne L. Winston
Chapter24: Forecasting Models
Section: Chapter Questions
Problem 10RP
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Machine Learning
You are given the scatter of points (x,y) = (1, 1.5), (4,
3.5), (7, 9), (10, 8). Set up an optimization problem to
perform linear regression by hand along the lines of
the previous problem by defining theta, etc. Then
perform hand calculations to implement linear
regression using gradient descent, and report the
optimal value of theta that you obtain and what that
means. Again, list all the steps - 1, 2,...etc. without
omitting any details.
Transcribed Image Text:Machine Learning You are given the scatter of points (x,y) = (1, 1.5), (4, 3.5), (7, 9), (10, 8). Set up an optimization problem to perform linear regression by hand along the lines of the previous problem by defining theta, etc. Then perform hand calculations to implement linear regression using gradient descent, and report the optimal value of theta that you obtain and what that means. Again, list all the steps - 1, 2,...etc. without omitting any details.
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