Abstract
Currently, the IT market uses the term "machine learning" as a direction of scientific engineering, closely related to the development of algorithms for training artificial neural networks based on data from various sensors or databases. The main principle of machine learning is selftraining of a neural network to patterns and making reasonable decisions by analyzing the data obtained. Consequently, machine learning is closely related to areas such as statistics, data mining, pattern recognition, and artificial intelligence. Neural networks are a popular platform for machine learning, but there are many other machine learning methods, such as logistic regression and auxiliary vector machines.
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