Изучаются алгоритмы обучения с подкреплением, использующие нейронные сети.

Deep Reinforcement Learning (autumn 2024)

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)

Deep Reinforcement Learning

Natural Language Processing course (stream 5, autumn 2023)

Особенности применения NLP в практических задачах

NLP in practice

Дизайн систем машинного обучения. Введение для начинающих.

ML System Design. Autumn 22/23

Natural Language Processing course (stream 3, autumn 2022)

Трек для глубокого изучения рекомендательных систем на практике

Active

Deep Reinforcement Learning (autumn 2024)

Natural Language Processing course (stream 6, spring 2024)

Deep Reinforcement Learning

Deep Reinforcement Learning

Natural Language Processing course (stream 5, autumn 2023)

NLP in practice

ML System Design. Autumn 22/23

Natural Language Processing course (stream 3, autumn 2022)

Your Second RecSys

MTC. Your first recsys