Computer Science and Programming

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Channel for who have a passion for - * Artificial Intelligence * Machine Learning * Deep Learning * Data Science * Computer vision * Image Processing * Research Papers * Related Courses and Ebooks With advertising offers contact:

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Индия29 599 Технологии и приложения8 724...

📈 Аналитический обзор Telegram-канала Computer Science and Programming

Канал Computer Science and Programming (@machinelearning_programming) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 14 851 подписчиков, занимая 8 724 место в категории Технологии и приложения и 29 599 место в регионе Индия.

📊 Показатели аудитории и динамика

С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 14 851 подписчиков.

Согласно последним данным от 03 июня, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило -150, а за последние 24 часа — -3, при этом общий охват остаётся высоким.

Статус верификации: Не верифицирован
Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 14.63%. В первые 24 часа после публикации контент обычно набирает N/A% реакций от общего числа подписчиков.
Охват публикаций: В среднем каждый пост получает 0 просмотров. В течение первых суток публикация набирает 0 просмотров.
Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 0.
Тематические интересы: Контент сосредоточен на ключевых темах, таких как learning, github, engineer, quantization, detection.

📝 Описание и контентная политика

Автор описывает ресурс как площадку для выражения субъективного мнения:
“Channel for who have a passion for - * Artificial Intelligence * Machine Learning * Deep Learning * Data Science * Computer vision * Image Processing * Research Papers * Related Courses and Ebooks With advertising offers contact:”

Благодаря высокой частоте обновлений (последние данные получены 04 июня, 2026) канал поддерживает актуальность и высокий уровень охвата публикаций. Аналитика показывает, что аудитория активно взаимодействует с контентом, что делает его важной точкой влияния в категории Технологии и приложения.

14 851

Подписчики

-324 часа

-227 дней

-15030 день

2 173

Просмотры поста

Нет данных24 часа

Нет данных48 часов

14.63%

Коэффициент вовлеченности

Нет данных

Постов в день

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Архив постов

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This channels is for Programmers, Coders, Software Engineers. 0- Python 1- Data Science 2- Machine Learning 3- Data Visualization 4- Artificial Intelligence 5- Data Analysis 6- Statistics 7- Deep Learning 8- programming Languages ✅ best channels on Telegram: https://t.me/addlist/8_rRW2scgfRhOTc0 ✅ Data Science Books: https://t.me/DataScienceM

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Repost from Artificial Intelligence && Deep Learning

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* PIPNet's precision in facial landmark detection with a record 2.6% NME on the 300W benchmark. Explore the model and its capabilities by visiting our GitHub repository. Watch the performance showcase on YouTube. Support and star our project on GitHub for future advancements. video: https://www.youtube.com/watch?v=cxi1WQr-HKE source code: https://github.com/Shohruh72/PIPNet/tree/main join our community: @MachineLearning_Programming

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Aruco Pose Estimator https://github.com/Shohruh72/Aruco-Pose-Estimator#readme join us: @MachineLearning_Programming

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Repost from Artificial Intelligence && Deep Learning

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MLOps+Masterclass+November+2023.pdf6.11 MB

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