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 6, spring 2024)

Голосование за лучших из лучших  в премии сообщества 2023

🎄ODS Awards 2023 ⭐

Natural Language Processing course (stream 5, autumn 2023)

Изучаются алгоритмы обучения с подкреплением, использующие нейронные сети.

Deep Reinforcement Learning

Секция Reliable ML - о том, как сделать так, чтобы результаты работы дата-команд приносили прибыль

Reliable ML (Data Fest 2023)

Дизайн систем машинного обучения. Введение для начинающих.

Active

Natural Language Processing course (stream 6, spring 2024)

🎄ODS Awards 2023 ⭐

Natural Language Processing course (stream 5, autumn 2023)

Deep Reinforcement Learning

Reliable ML (Data Fest 2023)

ML System Design. Autumn 23/24