I need help to solve problem Manually fit a linear function h_(\theta )(vec(x))=vec(\theta )^(T)*vec(x) based on the following training instances using the stochastic gradient descent algorithm. The initial values of parameters are \theta _(0)=0.1,\theta _(1)=0.1,\theta _(2)=0.1. The learning rate \alpha is 0.1. Please update each parameter at least five times.X_1,X_2,Y 0 0 20 1 31 0 31 1 4

I need help to solve problem Manually fit a linear function h_(\theta )(vec(x))=vec(\theta )^(T)*vec(x) based on the following training instances using the stochastic gradient descent algorithm. The initial values of parameters are \theta _(0)=0.1,\theta _(1)=0.1,\theta _(2)=0.1. The learning rate \alpha is 0.1. Please update each parameter at least five times.X_1,X_2,Y 0 0 20 1 31 0 31 1 4

Operations Research : Applications and Algorithms

4th Edition

ISBN:9780534380588

Author:Wayne L. Winston

Publisher:Wayne L. Winston

Chapter14: Game Theory

Section14.3: Linear Programming And Zero-sum Games

Problem 9P

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