متاح الآن! بحث تيليغرام 2025 — أهم رؤى العام 
Computer Science and Programming
الذهاب إلى القناة على Telegram
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:
إظهار المزيد📈 نظرة تحليلية على قناة تيليجرام Computer Science and Programming
تُعد قناة Computer Science and Programming (@machinelearning_programming) في القطاع اللغوي الإنكليزية لاعباً نشطاً. يضم المجتمع حالياً 14 851 مشتركاً، محتلاً المرتبة 8 724 في فئة التكنولوجيات والتطبيقات والمرتبة 29 599 في منطقة الهند.
📊 مؤشرات الجمهور والحراك
منذ تأسيسه في невідомо، حقق المشروع نمواً سريعاً وجمع 14 851 مشتركاً.
بحسب آخر البيانات بتاريخ 03 يونيو, 2026، تحافظ القناة على نشاط مستقر. خلال آخر 30 يوماً تغيّر عدد الأعضاء بمقدار -150، وفي آخر 24 ساعة بمقدار -3، مع بقاء الوصول العام مرتفعاً.
- حالة التحقق: غير موثّقة
- معدل التفاعل (ER): يبلغ متوسط تفاعل الجمهور 14.63%. وخلال أول 24 ساعة من النشر يحصد المحتوى عادةً N/A% من ردود الفعل نسبةً إلى إجمالي المشتركين.
- وصول المنشورات: يحصل كل منشور على متوسط 0 مشاهدة. وخلال اليوم الأول يجمع عادةً 0 مشاهدة.
- التفاعلات والاستجابة: يتفاعل الجمهور بانتظام؛ متوسط التفاعلات لكل منشور يبلغ 0.
- الاهتمامات الموضوعية: يركز المحتوى على مواضيع رئيسية مثل learning, github, engineer, quantization, detection.
📝 الوصف وسياسة المحتوى
يصف المؤلف القناة بأنها مساحة للتعبير عن الآراء الذاتية:
“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:”
بفضل وتيرة التحديث المرتفعة (أحدث البيانات بتاريخ 04 يونيو, 2026) تحافظ القناة على حداثتها ومستوى وصول مرتفع. وتُظهر التحليلات تفاعلاً نشطاً من الجمهور، ما يجعلها نقطة تأثير مهمة ضمن فئة التكنولوجيات والتطبيقات.
14 851
المشتركون
-324 ساعات
-227 أيام
-15030 أيام
أرشيف المشاركات
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LeGrad: Layerwise Explainability GRADient method for large ViT transformer architectures
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AiOS: The Future of Human Shape & Pose Recovery
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Read the Paper
Repost from Machine Learning with Python
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🌴🌴Direct-a-Video: driving Video Generation🌴🌴
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Repost from Artificial Intelligence && Deep Learning
EfficientViT - SAM:69x Faster SAM: Multi-Scale Linear Attention for High-Resolution Dense Prediction
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Repost from Computer Science and Programming
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