Graph Machine Learning is the science between graph theory and machine learning. It is now a very active area of research, with hundreds of publications each month, impactful applications in the industry, and new insights about our world. Intersection of graph theory and machine learning. Overview, SOTA, applications.

Graph ML

Использование обработки естественного языка в практике

NLP in industry

Generative NLP

Natural Language Processing (NLP) is a domain of research whose objective is to analyze and understand human languages and develop technologies to enable human machine interactions with natural languages. NLP is an interdisciplinary field involving linguistics, computer sciences and artificial intelligence. The goal of this course is to provide students with comprehensive knowledge of NLP. Students will be equiped with the principles and theories of NLP, as well as various NLP technologies, including rule-based, statistical and neural network ones. After this course, students will be able to conduct NLP research and develop state-of-the-art NLP systems.

Natural Language Processing course (stream 1, autumn 2021)

Курс по графам знаний (Knowledge Graphs) и как их готовить в 2021 году.

KG Course 2021

Применение нейронных сетей на многомерных временных данных для решения классических банковских задач

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Graph ML

NLP in industry

Generative NLP

Natural Language Processing course (stream 1, autumn 2021)

KG Course 2021

Deep Learning in Finance