Linear Regression, Machine Learning, Introduction, Gradient Descent.
Dabburas article [1] and an implementation example in the ML Glossary [2]. Basic Recipe of Machine Learning To summarize, the main steps to performing a Linear Regression are: A dataset (input, target) = (x, y) Set up a model (here: Linear Regression) Define a loss function (here: mean squared