Specificity and direction of the machine learning process presentation
Автор: Demirov V.V.
Журнал: Онтология проектирования @ontology-of-designing
Статья в выпуске: 1 (11) т.4, 2014 года.
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In the article discusses the prerequisites and conditions of such direction of the artificial intelligence as a machine learning. Procedural aspects of the implementation of machine learning, based on the algorithms that capable to learning by using methods of probability theory and mathematical statistics are disclosed. This learning is the ability of the algorithm to work with the data that are not come in to the learning sample as what we know about a certain subject area. Directions of realization of machine learning in various application aspects of computer science, as well as prospects of machine learning in the framework of the understanding of the real learning as the core of intellectual activity of biological organisms are revealed.
Algorithm, machine learning, training sample, semantic content, classification, neurocomputing interface, neuron, distributed code
Короткий адрес: https://sciup.org/170178497
IDR: 170178497