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Machine learning Interview | United States America (US)
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📝 ML Course Notes — коллекция конспектов по машинному обучению. Этот открытый репозиторий объединяет структурированные заметки по курсам от Стэнфорда, MIT и CMU — от основ нейросетей до трансформеров и RLHF. Здесь можно найти выжимки ключевых идей из лекций Andrew Ng, Кристофера Мэннинга и Андрея Карпати.

Репозиторий будет полезен для тех, кто хочет быстро освежить материал: каждая заметка привязана к конкретному видео и лектору. На страницу проекта можно добавить свои конспекты или улучшить существующие.

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@machinelearning_interview

Machine learning Interview
📝 ML Course Notes — коллекция конспектов по машинному обучению. Этот открытый репозиторий объединяет структурированные заметки по курсам от Стэнфорда, MIT и CMU — от основ нейросетей до трансформеров и RLHF. Здесь можно найти выжимки ключевых идей из лекций Andrew Ng, Кристофера Мэннинга и Андрея Карпати.

Репозиторий будет полезен для тех, кто хочет быстро освежить материал: каждая заметка привязана к конкретному видео и лектору. На страницу проекта можно добавить свои конспекты или улучшить существующие.

🤖 GitHub

@machinelearning_interview
hottg.com/machinelearning_interview/1789
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Machine learning Interview





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📝 ML Course Notes — коллекция конспектов по машинному обучению. Этот открытый репозиторий объединяет структурированные заметки по курсам от Стэнфорда

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