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Today adoption of machine learning technologies has become the key development trend for software companies. The use of AI determines product competitiveness on the global IT market. However, engineers who are just at the start of AI developments come across a great variety of questions concerning the choice of basic algorithmic approaches to problem solving. In this article, I’d like to describe the main features and use cases of AI in software development.
Problems and Solutions
Publications on developments in machine learning usually describe not only operating processes of a neural network or an algorithm but also the basis of AI training.
Generally, publicly available datasets recognized by the community are used for training purposes. However, it would be interesting to assess how effectively a system can be trained to the required quality level in another target system that a reader, for example, would like to develop.
Current trends in collaborative work