otomatik öğrenme

listen to the pronunciation of otomatik öğrenme
التركية - الإنجليزية
machine learning
A field concerned with the design and development of algorithms and techniques that allow computers to learn
The ability for a computer system to develop new knowledge based on its past experiences This is the defining characteristic of a true artificial intelligence system
The attempt to enable computers to learn from experience and improve their performance over time Includes genetic algorithms, neural networks, decision trees, case-based reasoning, and many others
The process by which computer systems can be directed to improve their performance over time Examples are neural networks and genetic algorithms
Sub-speciality of artificial intelligence concerned with developing methods for software to learn from experience, or to extract knowledge from examples in a database See also: Artificial intelligence, Knowledge acquisition
a general term referring to the use of computer algorithms to construct models from a set of known data Machine learning is often a component of data-mining
Machine learning encompasses techniques where a machine acquires knowledge from its previous experience One of the better known examples of machine learning is artificial neural networks
  The ability of a device to improve its performance based on its past performance  
The ability of a machine to improve its performance based on previous results
Machine learning is defined as the use of algorithms to generate a model from data, which is one step in the knowledge discovery process This is similar to the definition of empirical learning or inductive learning in Readings in Machine Learning by Shavlik and Dietterich Note that in their definition, training examples are "externally supplied," whereas here they are assumed to be supplied by a previous stage of the knowledge discovery process (ultimately, raw data are "externally supplied")
otomatik öğrenme
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