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 94 573 مشتركاً، محتلاً المرتبة 1 533 في فئة التعليم والمرتبة 3 001 في منطقة الهند.
📊 مؤشرات الجمهور والحراك
منذ تأسيسه في невідомо، حقق المشروع نمواً سريعاً وجمع 94 573 مشتركاً.
بحسب آخر البيانات بتاريخ 10 يوليو, 2026، تحافظ القناة على نشاط مستقر. خلال آخر 30 يوماً تغيّر عدد الأعضاء بمقدار 947، وفي آخر 24 ساعة بمقدار 100، مع بقاء الوصول العام مرتفعاً.
- حالة التحقق: غير موثّقة
- معدل التفاعل (ER): يبلغ متوسط تفاعل الجمهور 10.60%. وخلال أول 24 ساعة من النشر يحصد المحتوى عادةً 2.69% من ردود الفعل نسبةً إلى إجمالي المشتركين.
- وصول المنشورات: يحصل كل منشور على متوسط 10 020 مشاهدة. وخلال اليوم الأول يجمع عادةً 2 545 مشاهدة.
- التفاعلات والاستجابة: يتفاعل الجمهور بانتظام؛ متوسط التفاعلات لكل منشور يبلغ 15.
- 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 11 يوليو, 2026) تحافظ القناة على حداثتها ومستوى وصول مرتفع. وتُظهر التحليلات تفاعلاً نشطاً من الجمهور، ما يجعلها نقطة تأثير مهمة ضمن فئة التعليم.
94 573
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+10024 ساعات
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أرشيف المشاركات
94 573
☄️ What is an Artificial Neural Networks?
Artificial neural networks (ANN) give machines the ability to process data similar to the human brain and make decisions or take actions based on the data. While there’s still more to develop before machines have similar imaginations and reasoning power as humans, ANNs help machines complete and learn from the tasks they perform.▶️Content: ➿➿➿➿➿➿➿➿➿➿➿➿ 001 What is Deep Learning 002 Plan of Attack 003 The Neuron 004 The Activation Function 005 How do Neural Networks work 006 How do Neural Networks learn 007 Gradient Descent 008 Stochastic Gradient Descent 009 Back propagation ➿➿➿➿➿➿➿➿➿➿➿➿
94 573
🔅 TensorFlow: Working with NLP
🌐 Author: Jonathan Fernandes
🔰 Level: Intermediate
⏰ Duration: 41m
🌀
Learn about using transformers in natural language processing with TensorFlow.
📗 Topics: Natural Language Processing, TensorFlow
📤 Join Machine Learning and Artificial intelligence for more courses94 573
📱Machine Learning and Artificial intelligence
📱Advanced NLP with Python for Machine Learning (2020)
94 573
🔅 Advanced NLP with Python for Machine Learning (2020)
🌐 Author: Derek Jedamski
🔰 Level: Advanced
⏰ Duration: 2h 9m
🌀
Build upon your foundational knowledge of natural language processing (NLP) by exploring more complex topics such as word2vec, doc2vec, and recurrent neural networks.
📗 Topics: Natural Language Processing, Machine Learning, Python
📤 Join Machine Learning and Artificial intelligence for more courses94 573
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📱Machine Learning and Artificial intelligence
📱Advanced NLP with Python for Machine Learning (2020)
94 573
🔅 Advanced NLP with Python for Machine Learning (2020)
🌐 Author: Derek Jedamski
🔰 Level: Advanced
⏰ Duration: 2h 9m
🌀
Build upon your foundational knowledge of natural language processing (NLP) by exploring more complex topics such as word2vec, doc2vec, and recurrent neural networks.
📗 Topics: Natural Language Processing, Machine Learning, Python
📤 Join Machine Learning and Artificial intelligence for more courses94 573
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