The classification of machine learning methods is given depending on the technique of learning, the main algorithms of machine learning and the scope of application are considered. Particular attention is paid to reinforcement learning based on Markov decision processes.
The paper considers the main mechanisms of non-financial attraction and customer retention in the banking sector. The following factors are analyzed: convenience of the bank application; speed and quality of solving customer problems; technological aspects of the bank; special client programs and privileges; the availability of banking tools. Formulated actions to increase customer loyalty of banks.
Due to the continuously increasing number of network attacks and, accordingly, the volume of work performed by analysts to identify individuals who violate the security of critical information infrastructure objects, the development of software tools that provide visualization of the information analyzed in this case is relevant. A cartographic module is described that provides a search for publicly accessible databases of MaxMind companies, 3WiFi databases, WHOIS information for this IP-address, visualization of its location on an electronic geographic map and text information about the country and city of its location using the specified IP-address , as well as the provider that provided this IP-address. This module is implemented as a WEB server using the Django web framework. An example is provided illustrating selected methods for visualizing information related to a selected IP-address. The directions of its further development are determined.