Изучаются алгоритмы обучения с подкреплением, использующие нейронные сети.

Deep Reinforcement Learning (autumn 2024)

Современные подходы и инструменты для исследований на данных, разработки и внедрения ML-решений в production.

MLOps и production в DS исследованиях 3.0

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)

Дизайн систем машинного обучения. Введение для начинающих.

ML System Design. Autumn 22/23

Natural Language Processing course (stream 3, autumn 2022)

Продвинутые подходы и инструменты для разработки и внедрения ML-решений в production.

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Deep Reinforcement Learning (autumn 2024)

MLOps и production в DS исследованиях 3.0

Natural Language Processing course (stream 6, spring 2024)

ML System Design. Autumn 22/23

Natural Language Processing course (stream 3, autumn 2022)

MLOps и production подход к ML исследованиям 2.0

MLOps и production подход к ML исследованиям