\title{Introduction to Machine Learning} \author{Etienne Bernard}
In supervised learning, the algorithm learns from labeled data, where the correct output is already known. introduction to machine learning etienne bernard pdf
In reinforcement learning, the algorithm learns through trial and error by interacting with an environment and receiving feedback in the form of rewards or penalties. the algorithm learns from labeled data
In unsupervised learning, the algorithm learns from unlabeled data, and the goal is to discover patterns or relationships in the data. the algorithm learns from unlabeled data