Machine Learning courses and concepts

Machine learning is the branch of AI in which systems learn patterns from data and improve at a task through experience, instead of being explicitly programmed with rules for every case. It underpins almost everything else in modern AI — the models behind generative tools and agents are themselves machine-learned — and remains a field in its own right, from prediction and classification to recommendation. This hub gathers the concepts that make up its foundations — training data, supervised and unsupervised learning, overfitting, embeddings, and the metrics used to judge a model — alongside 20 courses to learn the theory or put it into practice.