Four Core Learning Styles In Machine Learning

This article explores the four fundamental learning styles in machine learning: supervised learning, unsupervised learning, semi-supervised learning, and reinforcement learning. Supervised learning involves training algorithms on labeled data, unsupervised learning involves training algorithms on unlabeled data, semi-supervised learning combines elements of both supervised and unsupervised learning, and reinforcement learning involves training algorithms through interaction with an environment. Understanding these core learning styles provides a foundation for further exploration into the field of machine learning.