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)

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

MLOps и production подход к ML исследованиям

Изучаются алгоритмы обучения с подкреплением, использующие нейронные сети.

Deep Reinforcement Learning

Deep Reinforcement Learning (autumn 2024)

Natural Language Processing course (stream 5, autumn 2023)

MLOps и production подход к ML исследованиям 2.0

Курс по графам знаний (Knowledge Graphs) и как их готовить в 2022 году. Запуск №2.

Active

Natural Language Processing course (stream 7, autumn 2024)

MLOps и production подход к ML исследованиям

Deep Reinforcement Learning

Deep Reinforcement Learning (autumn 2024)

Natural Language Processing course (stream 5, autumn 2023)

MLOps и production подход к ML исследованиям 2.0

Deep Reinforcement Learning

KG Course 2022

Natural Language Processing course (stream 3, autumn 2022)

Natural Language Processing course (stream 2, spring 2022)