Before we can go about searching for the best parameters (or model parameters) � and � , we will need two more things: (i) a measure of the quality of some given model; and (ii) a procedure for updating the model to improve its quality.
(ii) iteratively sample random minibatches from the data, updating the parameters in the direction of the negative gradient.
Regression
linear transformation of features via a weighted sum, combined with a translation via the added bias.
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