The following outline is provided as an overview of and topical guide to machine learning:
Machine learning – subfield of computer science (more particularly soft computing) that evolved from the study of pattern recognition and computational learning theory in artificial intelligence. In 1959, Arthur Samuel defined machine learning as a "Field of study that gives computers the ability to learn without being explicitly programmed". Machine learning explores the study and construction of algorithms that can learn from and make predictions on data. Such algorithms operate by building a model from an example training set of input observations in order to make data-driven predictions or decisions expressed as outputs, rather than following strictly static program instructions.
Subfields of machine learning
Cross-disciplinary fields involving machine learning
Machine learning hardware
Machine learning framework
Proprietary machine learning frameworks
Open source machine learning frameworks
Machine learning library
Decision tree algorithm
Machine learning research
Machine learning projects
Machine learning organizations
Books about machine learning
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