All Machine Learning and Evolutionary Methods

Fields in which programs improve their performance from data or from simulated selection rather than being explicitly programmed for each case. It covers statistical learning from examples and optimization methods modeled on biological evolution, including genetic algorithms and related search procedures. A field belongs here when its central method is fitting, training or evolving a model. It excludes learning theory, which belongs to Theory Of Computation, and recognition tasks defined by their input type, which sit with language, vision and pattern recognition.