Difference between revisions of "Machine Learning"
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| − | + | Machine Learning is the field in Artificial Intelligence dealing with models and algorithms to develop computer programs able to improve their performance during execution. | |
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| + | This reasearch field includes several learning pradigms (e.g., supervised learning, unsupervised learning, and reinforcement learning) or techniques (e.g., neural networks, genetic algorithms, decision trees, etc.). Recently all these techniques have been applied to Data Mining that can be thought as the natural complementation between Statistics, Artificial Intelligence, and Databases. Its main goal is to develop algorithms and techniques to extract knowledge from huge data repositories. | ||
[[Category:Research Area]] | [[Category:Research Area]] | ||
Revision as of 16:22, 21 December 2009
Machine Learning is the field in Artificial Intelligence dealing with models and algorithms to develop computer programs able to improve their performance during execution.
This reasearch field includes several learning pradigms (e.g., supervised learning, unsupervised learning, and reinforcement learning) or techniques (e.g., neural networks, genetic algorithms, decision trees, etc.). Recently all these techniques have been applied to Data Mining that can be thought as the natural complementation between Statistics, Artificial Intelligence, and Databases. Its main goal is to develop algorithms and techniques to extract knowledge from huge data repositories.
