Секция Reliable ML - про эффективное внедрение ML-решений в бизнеc-практику.

Reliable ML | Data Fest 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 5, autumn 2023)

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

MLOps и production подход к ML исследованиям 2.0

Natural Language Processing course (stream 4, spring 2023)

Изучаются алгоритмы обучения с подкреплением, использующие нейронные сети.

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Reliable ML | Data Fest 2024

MLOps и production в DS исследованиях 3.0

Natural Language Processing course (stream 5, autumn 2023)

MLOps и production подход к ML исследованиям 2.0

Natural Language Processing course (stream 4, spring 2023)

Deep Reinforcement Learning

Natural Language Processing course (stream 3, autumn 2022)