Overview of all keyword tags in articles

Inspecting content image: copyright, used under license from shutterstock.com

This page provides an overview of 1 tag. In the expanding tab below you can adjust filters to display sub-sets of tags and narrow the focus to specific items of interest (see FAQs on filtering for usage tips). Select this link to remove all filters.

Term Brief description Charts

machine learning

Machine learning, a branch of artificial intelligence, is a scientific discipline concerned with the design and development of algorithms that allow computers to evolve behaviors based on empirical data, such as from sensor data or databases. A learner can take advantage of examples (data) to capture characteristics of interest of their unknown underlying probability distribution. Data can be seen as examples that illustrate relations between observed variables. A major focus of machine learning research is to automatically learn to recognize complex patterns and make intelligent decisions based on data; the difficulty lies in the fact that the set of all possible behaviors given all possible inputs is too large to be covered by the set of observed examples (training data). Hence the learner must generalize from the given examples, so as to be able to produce a useful output in new cases. (Excerpt from <a href="http://en.wikipedia.org/wiki/Machine_learning">Wikipedia article: Machine learning</a>)

Percentage of Ariadne articles tagged with this term: [term_node_prcnt_1]%.