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)

Особенности применения NLP в практических задачах

NLP in practice

Изучаются алгоритмы обучения с подкреплением, использующие нейронные сети.

Deep Reinforcement Learning

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

Active

MLOps и production в DS исследованиях 3.0

Natural Language Processing course (stream 6, spring 2024)

NLP in practice

Deep Reinforcement Learning

MLOps и production подход к ML исследованиям 2.0

Natural Language Processing course (stream 5, autumn 2023)