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#8 (216) /  2018
 
Gevorg GHALACHYAN
THE APPLICATION OF MACHINE LEARNING FOR THE FINANCIAL RISK MANAGEMENT SECTOR IN RA

Gevorg GHALACHYAN
THE APPLICATION OF MACHINE LEARNING FOR THE FINANCIAL RISK MANAGEMENT SECTOR IN RA
Key words: Machine Learning, Artificial Intelligence, Risk Assessment, Supervised Learning, Neural Networks.
Machine learning and artificial intelligence are very important for financial sector nowadays. Financial institutions seek for better approaches to make big data analysis serve the risk management. This article refers to the introduction of machine learning and its application for solving continuously discussed problems by financial institutions, e.g. credit risk assessment, credit card fraud, money laundering. First of all, machine learning models can be trained on a huge amount of data, and in contrast to traditional stochastic models, more data causes higher model accuracy faster. Moreover, financial institutions collect the data in the form not ready for the analysis which machine learning models easily deal with.

THE APPLICATION OF MACHINE LEARNING FOR THE FINANCIAL RISK MANAGEMENT SECTOR IN RA  Վճարել 369 ՀՀ դրամ եւ ներբեռնել հոդվածը “PDF” ֆորմատով
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