Machine Learning, Gradient Descent, Stochastic Gradient, Batch Gradient Descent, Regression.
point a little more than it previously was. So that next time when this data sample is run through the hypothesis, the prediction is a little better. Let’s use an example to understand what I’m going to say. Let X = [(1,1), (3,4), (6,7)] (2 features), W = [w1, w2], and Y = [1,2,3]. Ignore the bias