Calculus - For Machine Learning Pdf Link

: Represents the difference between the model's prediction and the actual target. Minimization

: This is the "bread and butter" optimization algorithm. It uses the gradient to update weights in the opposite direction of the slope to reach the minimum error: calculus for machine learning pdf link

At its core, machine learning is about . We build a model, make predictions, calculate how wrong those predictions are (the "loss"), and then adjust the model to make it better. : Represents the difference between the model's prediction