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

MLOps и production в DS исследованиях 3.0

MTC. Your first recsys

Graph Machine Learning is the science between graph theory and machine learning. It is now a very active area of research, with hundreds of publications each month, impactful applications in the industry, and new insights about our world. Intersection of graph theory and machine learning. Overview, SOTA, applications.

Graph ML

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

KG Course 2022

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 5, autumn 2023)

Дизайн систем машинного обучения. Введение для начинающих.

ML System Design. Autumn 22/23

Natural Language Processing course (stream 3, autumn 2022)

Natural Language Processing course (stream 2, spring 2022)

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

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