[MMD]··11min
ML Calculus Chapter 2: Optimization, Partial Derivatives, and Gradients
A deep dive into the core of machine learning optimization: minimizing loss functions, differentiating squared and log loss, understanding partial derivatives and gradients, and using the gradient to find minima.
#Calculus#Machine Learning#Optimization#Gradient Descent#Gradient