The following outline is provided as an overview of, and topical guide to, machine learning: Machine learning (ML) is a subfield of artificial intelligence within computer science that evolved from the study of pattern recognition and computational learning theory.
[1] In 1959, Arthur Samuel defined machine learning as a "field of study that gives computers the ability to learn without being explicitly programmed".
[2] ML involves the study and construction of algorithms that can learn from and make predictions on data.
[3] These algorithms operate by building a model from a training set of example observations to make data-driven predictions or decisions expressed as outputs, rather than following strictly static program instructions.
Dimensionality reduction Ensemble learning Meta-learning Reinforcement learning Supervised learning Bayesian statistics Decision tree algorithm Linear classifier Unsupervised learning Artificial neural network Association rule learning Hierarchical clustering Cluster analysis Anomaly detection Semi-supervised learning Deep learning History of machine learning Machine learning projects: