Algorithm

A contextual bandit is a machine learning model that makes decisions based on contextual information to maximize rewards.

A collection of coding problems and solutions used for algorithm practice and technical interview preparation.

The Levenberg-Marquardt Algorithm is a popular optimization method for nonlinear least squares problems.

Luhn's Algorithm is a checksum formula used to validate identification numbers, particularly credit card numbers.

The modulo operation finds the remainder of division between two integers.