which logistic regression procedure is used to find optimal solution? when the training objective function is strongly convex, an optimal solution can be computed via gradient ascent. when is the logistic regression optimal why is logistic regression more efficient what is the training objective function of logistic regression? is it better to subtract mean of data in logistic regression what is logistic regression logistic logistic regression is convex how to compute gradient in logistic regression logistic regression how to calculate optimal solution logistic regression what does this mean how to find optimal logistic regression solution which function is needed for logistic regression to correctly predict the correct sigmoid solution? how to compute a logistic regression gradient which logistic regression function is optimal to compute optimal solution? what are the gradient ascent functions in logistic regression which function is used to compute optimal solution through gradient ascent? which logistic regression is better? which function does logistic regression use in the training objective equation? when is the gradient of logistic regression positive or negative