3 Linear Regression

Going deeper into the simplest model: a straight line, \(\hat{y} = wx + b\), fitted to data.

• 3.1 Training Data and Notation: what x, y, m and \(x^{(i)}\) mean
• 3.2 From Data to a Model Function: graphs, f(x), and the line \(\hat{y} = wx + b\)
• 3.3 Cost Function: one number for how well a line fits

Pick one above, or use the sidebar.

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Table of contents

• 3.1 Training Data and Notation
• 3.2 From Data to a Model Function
• 3.3 Cost Function