Question: We have a dataset that has real-valued labels and one feature. The dataset contains three training examples. 0.4 0.4 0.8 0.9 1.0 0.1 Perform linear

We have a dataset that has real-valued labels and one feature. The dataset contains three training examples. 0.4 0.4 0.8 0.9 1.0 0.1

Perform linear regression with gradient descent algorithm for two iterations and fill in the blanks in the following tables. The hypothesis is: () = 0 + 1 . For simplicity, the step size = 1 and initialize = [0 1]T. Keep four decimal digits for all results.

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