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 93 946 مشتركاً، محتلاً المرتبة 1 568 في فئة التعليم والمرتبة 3 028 في منطقة الهند.
📊 مؤشرات الجمهور والحراك
منذ تأسيسه في невідомо، حقق المشروع نمواً سريعاً وجمع 93 946 مشتركاً.
بحسب آخر البيانات بتاريخ 23 يونيو, 2026، تحافظ القناة على نشاط مستقر. خلال آخر 30 يوماً تغيّر عدد الأعضاء بمقدار 993، وفي آخر 24 ساعة بمقدار 92، مع بقاء الوصول العام مرتفعاً.
- حالة التحقق: غير موثّقة
- معدل التفاعل (ER): يبلغ متوسط تفاعل الجمهور 7.92%. وخلال أول 24 ساعة من النشر يحصد المحتوى عادةً 1.62% من ردود الفعل نسبةً إلى إجمالي المشتركين.
- وصول المنشورات: يحصل كل منشور على متوسط 7 435 مشاهدة. وخلال اليوم الأول يجمع عادةً 1 526 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 24 يونيو, 2026) تحافظ القناة على حداثتها ومستوى وصول مرتفع. وتُظهر التحليلات تفاعلاً نشطاً من الجمهور، ما يجعلها نقطة تأثير مهمة ضمن فئة التعليم.
93 946
المشتركون
+9224 ساعات
+1097 أيام
+99330 أيام
أرشيف المشاركات
93 963
🔰 Complete A.I. & Machine Learning, Data Science Bootcamp
🌟 4.6 - 29980 votes 💰 Original Price: $64.99
📖 Learn Data Science, Data Analysis, Machine Learning (Artificial Intelligence) and Python with Tensorflow, Pandas & more!
🔊 Taught By: Andrei Neagoie, Daniel Bourke
📤 Download Full Course 📤 Download All Courses
93 963
🔅 Deep Learning: Model Optimization and Tuning
📝 Learn about various optimization and tuning options available for deep learning models and use them to improve models.
🌐 Author: Kumaran Ponnambalam
🔰 Level: Advanced
⏰ Duration: 55m
📋 Topics: Deep Learning, Artificial Intelligence
🔗 Join Artificial intelligence for more courses
93 963
Text classification takes a sentence and uses a language model to predict its category, like positive or negative sentiment.
The process involves comparing predictions to actual labels, calculating loss, and backpropagating gradients to improve accuracy over time.
Only the first hidden state is used for classification, making the model efficient while maintaining accuracy.
Explore how input data flows through the model, from tokenizing words to computing the final prediction.
This setup is at the heart of applications like sentiment analysis and spam detection!
93 963
Read this once. There won't be a second message.
Brainlancer just launched today.
Investor-backed marketplace for ALL AI freelancers. Designers, builders, copywriters, marketers, video creators, automation experts, consultants.
If you build, design, write, or sell anything with AI, this is your moment.
How it works:
• Register free at brainlancer.com
• Stripe verification, 5 minutes, instant approval
• List up to 5 services from $49 to $4,999
• Add monthly subscriptions on top if you want
• We bring the clients. You keep 80%.
The deal:
No subscription.
No bidding.
No chasing.
We pay all marketing.
Real talk: no services live yet. We just launched. Whoever joins first gets seen first.
The first 100 Brainlancers are onboarding right now.
In 6 months others will have founding status, recurring income, featured services on the homepage.
You'll scroll past and remember this post.
Don't.
→ brainlancer.com
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Resonant is a mini-app that connects your decision patterns to your AI Agents. Generate your personal Agentic Memory Card now!
https://t.me/ResonantAlphaBot/resonant?startapp
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AI Engineer vs. Software Engineer – Know the Difference! 🤖👨💻
Thinking of switching to tech or leveling up your current role?
Here’s a quick visual guide to help you decide your path! 👇
AI Engineer
✅ Build intelligent systems
✅ Deploy ML & deep learning models
✅ Optimize AI performance
Software Engineer
✅ Build full-scale software applications
✅ Translate user needs into code
✅ Ensure system reliability
Both Need:
✅ Strong programming skills
✅ Scalable system design
✅ Cross-functional collaboration
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🔅 Getting Started with Vibe Coding
📝 Master the magic of vibe coding, where you become the boss of AI, telling it exactly what apps to build while it handles all the tricky coding parts for you.
🌐 Author: Dylan Davis
🔰 Level: Beginner
⏰ Duration: 1h 17m
📋 Topics: AI Software Development, GitHub Copilot
🔗 Join Artificial intelligence for more courses
93 963
👨💻LocalAI
🛠 The free, Open Source alternative to OpenAI, Claude and others.
🔰Self-hosted and local-first.
🔰Drop-in replacement for OpenAI, running on consumer-grade hardware.
🔰No GPU required.
🔰Runs gguf, transformers, diffusers and many more models architectures.
⚙️Features:
🔹Generate Text, Audio, Video, Images, Voice Cloning, Distributed, P2P inference
🔗Links:
https://github.com/mudler/LocalAI
🌐Web:
https://localai.io/
93 963
Found this - AI Builders, pay attention.
A curated marketplace just launched where AI builders list their systems and get paid - setup fee + monthly recurring. No sales, no client chasing. They handle everything, you just build.
100% free to join. No fees, no subscription, no hidden costs. They only take 20% when you earn - on setup fee and recurring. That's it.
Accepted builders are earning from day one. Spots are limited by design.
Takes 5 minutes to apply. You'll need a 90-second video of your system in action.
→ brainlancer.com
Daily updates from the CEO: https://www.linkedin.com/in/soner-catakli/
Follow, like & share in "your network" - these guys are building something seriously worth watching.
PS: First systems go live tomorrow. Builders who join early get the best positioning... investor-backed marketing means they bring the clients to you.
93 963
Found this - AI Builders, pay attention.
A curated marketplace just launched where AI builders list their systems and get paid - setup fee + monthly recurring. No sales, no client chasing. They handle everything, you just build.
100% free to join. No fees, no subscription, no hidden costs. They only take 20% when you earn - on setup fee and recurring. That's it.
Accepted builders are earning from day one. Spots are limited by design.
Takes 5 minutes to apply. You'll need a 90-second video of your system in action.
→ https://tglink.io/a774ad3a95379d
Daily updates from the CEO: https://tglink.io/2d46683619ea24
Follow, like & share in "your network" - these guys are building something seriously worth watching.
PS: First systems go live tomorrow. Builders who join early get the best positioning... investor-backed marketing means they bring the clients to you.
93 963
+1
Python Developer
Supervised learning is a type of machine learning where the model learns to map input data to output labels based on labeled training data.
The model is trained on a dataset that contains input-output pairs, and it learns the relationship between inputs and corresponding outputs.
The goal is for the model to generalize well to new, unseen data and accurately predict outputs for new inputs. Common supervised learning tasks include classification and regression.
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