Изучаются алгоритмы обучения с подкреплением, использующие нейронные сети.

Deep Reinforcement Learning (autumn 2024)

Митап ODS Reliable ML по АБ-тестированию и Causal Inference - 17 декабря 2022 г.

Reliable ML AB Testing & Causal Inference Meetup

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 4, spring 2023)

Natural Language Processing course (stream 2, spring 2022)

Дизайн систем машинного обучения. Введение для начинающих.

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Deep Reinforcement Learning (autumn 2024)

Reliable ML AB Testing & Causal Inference Meetup

Natural Language Processing course (stream 4, spring 2023)

Natural Language Processing course (stream 2, spring 2022)

ML System Design. Autumn 23/24

Natural Language Processing course (stream 5, autumn 2023)

Deep Reinforcement Learning

Deep Reinforcement Learning