In today's world, Outline of machine learning has become a topic of great relevance and interest to a wide sector of society. With the advancement of technology and globalization, Outline of machine learning has taken a leading role in different areas, from politics to popular culture. Knowing more about Outline of machine learning is essential to understand the challenges and opportunities that currently arise. In this article, we will explore different aspects related to Outline of machine learning, from its history to its impact on contemporary society.
The following outline is provided as an overview of and topical guide to machine learning:
Machine learning – subfield of soft computing within computer science 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.
Ensemble averaging – process of creating multiple models and combining them to produce a desired output, as opposed to creating just one model. Frequently an ensemble of models performs better than any individual model, because the various errors of the models "average out."
Active learning – special case of semi-supervised learning in which a learning algorithm is able to interactively query the user (or some other information source) to obtain the desired outputs at new data points.
Popular online course by Andrew Ng, at Coursera. It uses GNU Octave. The course is a free version of Stanford University's actual course taught by Ng, see.stanford.edu/Course/CS229 available for free].
mloss is an academic database of open-source machine learning software.