Linear Regression, Machine Learning, Introduction, Gradient Descent.
these are so-called trainable parameters. We don’t want to find just any model to approximate our data, but we want to find the ‘best’ model — ‘best’ in the sense that the error compared to our real (target) data y is minimal. The errors in a Linear Regression are usually measured using the mean