[Machine Learning]: Model and Cost Function Outline: 1) Linear Regression Model 2) Cost Function 3) Math Model Linear Regression Model First, we give an example of the linear regression model, the example as follows, we are given the house size and house price, we want to know the "relation" between the house price and house size. What should we do? House Size(\(x\)): \([2104, 2000, 1216, 1234, 852, 737, 469, 220]\); House Price(\(y\)): \([460, 300, 232, 315, 178, 177, 140, 100]\); T o describe the supervised learning problem slightly more formally, our goal is, given a training set, to learn a function H (H is the Hypothesis Fucntion) : X → Y so that h(x) is a “good” predictor for the corresponding value of y. For historical reasons, this function h is called a hypothesis. Seen pictorially, the process is therefore like this: -> input: \(x_...