متاح الآن! بحث تيليغرام 2025 — أهم رؤى العام 
AI and Machine Learning
الذهاب إلى القناة على Telegram
Learn Data Science, Data Analysis, Machine Learning, Artificial Intelligence, and Python with Tensorflow, Pandas & more! Buy ads: https://telega.io/c/machine_learning_courses
إظهار المزيد📈 نظرة تحليلية على قناة تيليجرام AI and Machine Learning
تُعد قناة AI and Machine Learning (@machine_learning_courses) في القطاع اللغوي الإنكليزية لاعباً نشطاً. يضم المجتمع حالياً 94 098 مشتركاً، محتلاً المرتبة 1 547 في فئة التعليم والمرتبة 3 005 في منطقة الهند.
📊 مؤشرات الجمهور والحراك
منذ تأسيسه في невідомо، حقق المشروع نمواً سريعاً وجمع 94 098 مشتركاً.
بحسب آخر البيانات بتاريخ 26 يونيو, 2026، تحافظ القناة على نشاط مستقر. خلال آخر 30 يوماً تغيّر عدد الأعضاء بمقدار 965، وفي آخر 24 ساعة بمقدار 37، مع بقاء الوصول العام مرتفعاً.
- حالة التحقق: غير موثّقة
- معدل التفاعل (ER): يبلغ متوسط تفاعل الجمهور 6.79%. وخلال أول 24 ساعة من النشر يحصد المحتوى عادةً 2.34% من ردود الفعل نسبةً إلى إجمالي المشتركين.
- وصول المنشورات: يحصل كل منشور على متوسط 6 384 مشاهدة. وخلال اليوم الأول يجمع عادةً 2 203 مشاهدة.
- التفاعلات والاستجابة: يتفاعل الجمهور بانتظام؛ متوسط التفاعلات لكل منشور يبلغ 9.
- الاهتمامات الموضوعية: يركز المحتوى على مواضيع رئيسية مثل learning, llm, linkedin, linux, udemy.
📝 الوصف وسياسة المحتوى
يصف المؤلف القناة بأنها مساحة للتعبير عن الآراء الذاتية:
“Learn Data Science, Data Analysis, Machine Learning, Artificial Intelligence, and Python with Tensorflow, Pandas & more!
Buy ads: https://telega.io/c/machine_learning_courses”
بفضل وتيرة التحديث المرتفعة (أحدث البيانات بتاريخ 27 يونيو, 2026) تحافظ القناة على حداثتها ومستوى وصول مرتفع. وتُظهر التحليلات تفاعلاً نشطاً من الجمهور، ما يجعلها نقطة تأثير مهمة ضمن فئة التعليم.
94 098
المشتركون
+3724 ساعات
+2267 أيام
+96530 أيام
أرشيف المشاركات
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ChatGPT Telegram Bot: GPT-4o. Fast. No daily limits.
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+1
ChatGPT Telegram Bot: GPT-4o. Fast. No daily limits.
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🔅 Introduction to MLSecOps
🌐 Author: Diana Kelley
🔰 Level: Intermediate
⏰ Duration: 1h 2m
🌀 Learn how to build security into your machine learning and AI lifecycles with MLSecOps.📗 Topics: MLOps, Security Operations, Machine Learning 📤 Join Machine Learning and Artificial intelligence for more courses
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Getting into neural networks: a massive, detailed Deep Learning textbook has been released 💬
Inside you'll find everything essential about models: what transformers are, how image generation works, and much more. To reinforce the learning, there are 60 exercises in Python Notebook available on the website — link 😎
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🔅 Applied Machine Learning: Ensemble Learning
🌐 Author: Derek Jedamski
🔰 Level: Intermediate
⏰ Duration: 2h 25m
🌀 Explore how to make powerful, accurate predictions with ensemble learners, one of the most common classes of machine learning algorithms.📗 Topics: Applied Machine Learning 📤 Join Machine Learning and Artificial intelligence for more courses
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