Skip to main content📘 Supervised Learning
Supervised learning algorithms learn a mapping from inputs x to outputs y using labeled training data. Each example in the training set is a pair (x(i),y(i)), and the goal is to learn a function f(x) that generalizes to new unseen examples.
Common Algorithms
These pages dive into the mathematics, intuition, and practical implementation of each method. 
