Gradient Descent
Iterative process: Goal of gradient descent: MINIMIZE the cost function (error between predicted and actual value) Requirements: a Learning Rate and the direction where to go. Terms: Types of Gradient Descents: https://www.ibm.com/think/topics/gradient-descent Linear Regression: Gradient Descent (One of the best source)https://developers.google.com/machine-learning/crash-course/linear-regression/gradient-descentMath behind gradient descent: https://sebastianraschka.com/faq/docs/gradient-optimization.html https://www.khanacademy.org/math/multivariable-calculus/applications-of-multivariable-derivatives/optimizing-multivariable-functions/a/what-is-gradient-descent https://www.geeksforgeeks.org/gradient-descent-algorithm-and-its-variants https://en.wikipedia.org/wiki/Gradient_descent