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 7, autumn 2024)

Natural Language Processing course (stream 6, spring 2024)

Присоединяйтесь к Mattermost чату сообщества Open Data Science!

🆕 ODS Mattermost 🆕

Deep Reinforcement Learning

Дизайн систем машинного обучения. Введение для начинающих.

ML System Design. Autumn 22/23

Курс о линейной зависимости: поговорим о линейной и логистической регрессиях, метриках, валидации, генерации признаков и применим знания в конкурсе "Турникеты".

Open ML Course: Линейные модели 2023

Долгожданное продолжение курса «Линейный модели»!

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Deep Reinforcement Learning (autumn 2024)

Natural Language Processing course (stream 7, autumn 2024)

Natural Language Processing course (stream 6, spring 2024)

🆕 ODS Mattermost 🆕

Deep Reinforcement Learning

ML System Design. Autumn 22/23

Open ML Course: Линейные модели 2023

Open ML Course: Деревья и их ансамбли

ML System Design. Autumn 23/24

Deep Reinforcement Learning