Machine Learning, Linear Regression, Gradient Descent, Backpropagation.
do we know if our model is doing well? We simply compare the predicted ŷ and the observed y through a loss function. There are many ways to define the loss function but in this post, we define it as the squared difference between ŷ and y. Generally, the smaller the L, the better. 1.4 Minimise loss