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

Great jobs don’t simply fall out of the sky as soon as you’ve mastered Python, R or SQL. This year's Career section unites Data Science experts to discuss the most exciting career questions. How to become a senior in Data Science? Why is the middle not yet senior and how to become a senior? How to improve one’s soft skills and is it important at all? Star speakers, industry experts, tricky questions to the recruiters, and many more.

Career (Data Fest 2020)

AI Hardware is computers and chips designed specifically for machine learning applications. In this section, we will share with you our experience in AI hardware design and highlight industry trends.

AI Hardware

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.

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Graph ML

Career (Data Fest 2020)

AI Hardware

Natural Language Processing course (stream 1, autumn 2021)

KG Course 2021