Question

We have a dataset that has real-valued labels and one feature. The dataset contains three training examples. (ro is the intercept.) 10.40.21 1 0.80.86 1-1.20.35 In all calculation below. keep four decimal digits for all intermediate results and use those Part 1: Stochastic Gradient Descent (12%) Perform linear regression with stochastic gradient descent algorithm for three iterations and rounded results for next-step calculation. fill in the blanks in the following tables. The hypothesis i For simplicity, let's process the three samples in orde(ro ) to z(3)), and set the regular ization parameter λ 0 (ie.. no regularization), step size α 1, and initialize θ-: [0 1]1 Answer: Initial 0.0 Iteration# 1: update θ based on x(1) >Updated 0: Iteration# 2: update θ based on x(2) Updated θ: Iteration# 3: update θ based on x(3) ho(x(3)) Updated θ

Answer 1

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