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Machine learning (ML) is a scientific discipline that concerns developing learning capabilities in computer systems. Machine learning is one of central areas of Artificial Intelligence (AI). It is an interdisciplinary area that combines results from statistics, logic, robotics, computer science, computational intelligence, pattern recognition, data mining, cognitive science, and more.
A computer system learns if it improves its performance or knowledge due to experience, or if it adapts to a changing environment. The experience can be of the system that learns, or can be provided from outside, for example, in the form of data from which the system learns. Although the majority of machine learning methods concern learning from data, this is not the only available form of learning. Results of machine learning are in the form of knowledge or models (functions) representing what has been learned, and are most often used to make predictions about...
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References
Michalski, R. S., Carbonell, J. G., & Mitchel, T. M. (Eds.). (1983). Machine learning: An artificial intelligence approach. Palo Alto: Tioga Publishing Company.
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© 2012 Springer Science+Business Media, LLC
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Wojtusiak, J. (2012). Machine Learning. In: Seel, N.M. (eds) Encyclopedia of the Sciences of Learning. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-1428-6_1927
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DOI: https://doi.org/10.1007/978-1-4419-1428-6_1927
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