📘 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.