Sometimes, in the process of working with ML models, funny things may happen, ranging from an odd output to amusing errors in models' performance. …

Since the very beginning of the company, MIL Team has been working as the external service team in cooperation with the large companies’ R&D centres, like Huawei and Samsung. We have successfully implemented 16 R&D projects so far, including large open-source projects and small MVP decisions. Here comes the question…

By reading this tutorial you will know how to use TopicNet and ARTM libraries for building topic models with regularizers. Why do we need regularizers? Building the topic model for a collection of documents helps us to recognize the topics of the documents and determine the words describing these topics. …

Machine Intelligence Laboratory was founded in 2017, since then, the members of our team have been tirelessly working: we implemented 16 R&D projects, published 3 Q2 articles, organised 9 events, started the Science Club and MVP projects development. …

All of us get to know dozens of audial information ranging from voice messages in Telegram to the lectures recorded by your classmates. Wouldn’t it be nice to “turn off” all the irrelevant noises and enjoy the essence? Well, that’s possible! The programs based on machine learning algorithms are the…