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1. Can you derive the gradient decent rule for the regularized loss? Jreg(0) =- [[y6 log ho(m) + (1 4,) log (1 ho(36)] + 1|2|1:a|3

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1. Can you derive the gradient decent rule for the regularized loss? Jreg(0) =- [[y6" log ho(m) + (1 4,\") log (1 ho(36)] + 1|2|1:a|3 2. Can you derive the stochastic gradient descent rule for logistic regression

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