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 94 077 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 94 077 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.
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- 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.
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For those of you who are new to Neural Networks, let me try to give you a brief overview.
Neural networks are computational models inspired by the human brain's structure and function. They consist of interconnected layers of nodes (or neurons) that process data and learn patterns. Here's a brief overview:1. Structure: Neural networks have three main types of layers: - Input layer: Receives the initial data. - Hidden layers: Intermediate layers that process the input data through weighted connections. - Output layer: Produces the final output or prediction. 2. Neurons and Connections: Each neuron receives input from several other neurons, processes this input through a weighted sum, and applies an activation function to determine the output. This output is then passed to the neurons in the next layer. 3. Training: Neural networks learn by adjusting the weights of the connections between neurons using a process called backpropagation, which involves: - Forward pass: Calculating the output based on current weights. - Loss calculation: Comparing the output to the actual result using a loss function. - Backward pass: Adjusting the weights to minimize the loss using optimization algorithms like gradient descent. 4. Activation Functions: Functions like ReLU, Sigmoid, or Tanh are used to introduce non-linearity into the network, enabling it to learn complex patterns. 5. Applications: Neural networks are used in various fields, including image and speech recognition, natural language processing, and game playing, among others. Overall, neural networks are powerful tools for modeling and solving complex problems by learning from data. ENJOY LEARNING 👍👍
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📱Machine Learning and Artificial intelligence
📱Building a Video Transcriber with Node.js and Google AI Speech-To-Text API
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🔅 Building a Video Transcriber with Node.js and Google AI Speech-To-Text API
🌐 Author: Fikayo Adepoju
🔰 Level: Intermediate
⏰ Duration: 1h 9m
🌀 Learn how to transcribe audio from video by integrating Node.js applications with the Google AI Speech-to-Text API.📗 Topics: Machine Transcription, Artificial Intelligence, Node.js 📤 Join Machine Learning and Artificial intelligence for more courses
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The Open Doors Olympiad is your gateway to a captivating realm of knowledge and academic excellence!
Seize this remarkable opportunity to participate in the online tour of the Olympiad and secure a free education at one of Russia's most prestigious universities. You will be able to choose a programm and study Russian language for a year before entering. This is your chance to become a true specialist, equipped with skills and expertise to thrive in your field.
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🎨 Unleash your creativity with your sidekick Glovy AI Image Generator!
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Repost from Linkedin Learning
Welcome to our Development Pack! 🚀
If you're interested in web development, mobile development, machine learning, or even ChatGPT, you're in the right place.
You'll find channels for everything, starting with the famous Python 🐍 and JavaScript, and finishing with React, Next.js, AutoCAD, and SolidWorks. We also cover databases, Linux 🐧, ethical hacking, cybersecurity, finance and marketing, crypto tutorials, and many more. 🌟
📱 Development Pack
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📱Machine Learning and Artificial intelligence
📱Machine Learning and AI Foundations: Causal Inference and Modeling
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🔅 Machine Learning and AI Foundations: Causal Inference and Modeling
🌐 Author: Keith McCormick
🔰 Level: Advanced
⏰ Duration: 2h 51m
🌀 Learn about the modeling techniques and experimental designs that allow you to establish causal inference, and how to use them.📗 Topics: Causal Inference, Machine Learning, Artificial Intelligence 📤 Join Machine Learning and Artificial intelligence for more courses
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Turn your voice into organized notes with EchoNote! 🎙️➡️📝
Got an idea? Just say it, and EchoNote transforms your thoughts into clear, structured notes in seconds.
✅ Plan tasks
📂 Organize projects
📱 Sync across all your devices
Just tap, talk, and let EchoNote handle the rest. You’ll love the simplicity! 😉📲
=> https://tglink.io/ef9c6d41b47a
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🔅 AI Pair Programming with GitHub Copilot X
🌐 Author: Ronnie Sheer
🔰 Level: Advanced
⏰ Duration: 1h 23m
🌀 Learn how to streamline software development workflows using AI pair programming with GitHub Copilot X.📗 Topics: Pair Programming, GitHub Copilot, Artificial Intelligence 📤 Join Machine Learning and Artificial intelligence for more courses
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📱Machine Learning and Artificial intelligence
📱Machine Learning and AI Foundations: Producing Explainable AI (XAI) and Interpretable Machine Learning Solutions
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🔅 Machine Learning and AI Foundations: Producing Explainable AI (XAI) and Interpretable Machine Learning Solutions
🌐 Author: Keith McCormick
🔰 Level: Intermediate
⏰ Duration: 2h 9m
🌀 Learn best practices for how to produce explainable AI and interpretable machine learning solutions.📗 Topics: Machine Learning, Artificial Intelligence 📤 Join Machine Learning and Artificial intelligence for more courses
