Курс про линейные модели и ансамбли из деревьев решений

Классические модели ML (autumn 2024)

Дизайн систем машинного обучения. Введение для начинающих.

ML System Design. Autumn 23/24

Долгожданное продолжение курса «Линейный модели»!

Open ML Course: Деревья и их ансамбли

Изучаются алгоритмы обучения с подкреплением, использующие нейронные сети.

Deep Reinforcement Learning

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.

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Классические модели ML (autumn 2024)

ML System Design. Autumn 23/24

Open ML Course: Деревья и их ансамбли

Deep Reinforcement Learning

Natural Language Processing course (stream 5, autumn 2023)