Gradient Descent for Machine Learning (ML) 101 with Python Tutorial

Gradient descent is one of the most common machine learning algorithms used in neural networks [7], data science, optimization, and machine learning tasks. The gradient descent algorithm and its variants can be found in almost every machine learning model. Gradient descent is a popular optimization method of tuning the parameters in a machine learning model. Its goal is to apply optimization to find the least or minimal error value. It is mostly used to update the parameters of the model -- in this case, parameters refer to coefficients in regression and weights in a neural network.