To effectively use Machine Learning algorithms, you must operate on the largest possible set of test data. The larger the collection is, the more accurate your analyses will be.
For this reason, most often the data for such analyzes are collected from more than one system (server systems/web/mobile/desktop/IoT applications). Many of these solutions are created in various technologies, which is why it is so important to work with a partner who knows the issues of Data Science and is able to support a wide range of technologies. Start cooperation with us today and let no technology limit you.