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e: Machine Learning Q) Consider the following datasets: X= 2,8,4 Y= 2.6, 9.2, 5.3 a) Statistically regress X on Y, i.e. find a regression equation in which output variable is X and input variable is Y. b) Make a flow chart for solving part a using Gradient Descent approach. c) Show first three iterations of Gradient Descent method to solve for intercept only. Initialize intercept at 0 value.

e: Machine Learning Q) Consider the following datasets: X= 2,8,4 Y= 2.6, 9.2, 5.3 a) Statistically regress X on Y, i.e. find a regression equation in which output variable is X and input variable is Y. b) Make a flow chart for solving part a using Gradient Descent approach. c) Show first three iterations of Gradient Descent method to solve for intercept only. Initialize intercept at 0 value.

Computer Networking: A Top-Down Approach (7th Edition)
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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Course: Machine Learning

Q) Consider the following datasets:
X= 2,8,4
Y= 2.6, 9.2, 5.3
a) Statistically regress X on Y, i.e. find a regression equation in which output variable is X and input variable
is Y.
b) Make a flow chart for solving part a using Gradient Descent approach.
c) Show first three iterations of Gradient Descent method to solve for intercept only. Initialize intercept at 0
value.

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