Уровень 0 · материалов: 5
В кластер входят документы о предоставлении доступа к профессиональным учебным программам и курсам по разработке ПО и анализу данных, но не входят общие статьи об образовании.
Общие признаки: бесплатное профессиональное обучение, программы подготовки разработчиков, материалы для самообразования, ИТ-специальности
Группа выше: Образовательные ресурсы и платформы
Смысл: The main idea is to provide public access to a professional-grade academic curriculum on Machine Learning developed by Yandex to foster self-education in data science.
Yandex shares a comprehensive 25-lecture Machine Learning syllabus from its School of Data Analysis, covering everything from basic classification to reinforcement learning.
Смысл: The main idea is to promote and provide registration details for a professionally curated, practical introductory machine learning course on Coursera, developed by Yandex and HSE to make data science accessible to Russian speakers.
Yandex and HSE have launched a 7-week practical introduction to machine learning on Coursera, featuring lectures by Konstantin Vorontsov and Python-based assignments.
Смысл: The text announces and outlines the curriculum of a free professional video course provided by Yandex to help developers transition from basic Python knowledge to industrial-level backend engineering.
Yandex shares a full video course on professional backend development with Python, covering everything from CPython internals to asynchronous programming and system architecture.
Смысл: Yandex is sharing its internal educational materials for interface development to fill the gap left by formal higher education in Russia, providing a structured path for frontend developers.
Yandex has released a comprehensive set of video lectures from its Interface Development School covering tools, languages, frameworks, and design.
Смысл: The text announces the relaunch and provides the materials for an open machine learning course created by OpenDataScience and Mail.Ru Group. It emphasizes a rigorous approach that combines deep mathematical theory with heavy practical application, targeting individuals who already possess basic programming and math skills.
An announcement and curriculum guide for a rigorous, free machine learning course (mlcourse.ai) that combines heavy mathematics, Python practice, and community support.