Linear Regression, Gradient Descent, Machine Learning, Mathematics, Data Analysis.
because the product between α and the derivative shrinks, and thus the update to θ1 gets smaller. Learning rate α The learning rate dictates the size of the step for each iteration of gradient descent. The learning rate is a hyperparameter, which means that it must be manually chosen by the human