Учим избавляться от рутины во внутренних процессах жизненного цикла моделей и повышать эффективность своей работы.

AutoML in practice

Курс про линейные модели и ансамбли из деревьев решений

Классические модели ML

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)

Дизайн систем машинного обучения. Введение для начинающих.

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AutoML in practice

Классические модели ML

Natural Language Processing course (stream 6, spring 2024)

ML System Design. Autumn 23/24