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 2, spring 2022)

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

MLOps и production подход к ML исследованиям

Трек для глубокого изучения рекомендательных систем на практике

Your Second RecSys

MTC. Your first recsys

Митап ODS Reliable ML по АБ-тестированию и Causal Inference - 17 декабря 2022 г.

Active

Natural Language Processing course (stream 2, spring 2022)

MLOps и production подход к ML исследованиям

Your Second RecSys

MTC. Your first recsys

Reliable ML AB Testing & Causal Inference Meetup