متاح الآن! بحث تيليغرام 2025 — أهم رؤى العام 
Machine Learning
الذهاب إلى القناة على Telegram
Real Machine Learning — simple, practical, and built on experience. Learn step by step with clear explanations and working code. Admin: @HusseinSheikho || @Hussein_Sheikho
إظهار المزيد📈 نظرة تحليلية على قناة تيليجرام Machine Learning
تُعد قناة Machine Learning (@machinelearning9) في القطاع اللغوي الإنكليزية لاعباً نشطاً. يضم المجتمع حالياً 40 039 مشتركاً، محتلاً المرتبة 3 406 في فئة التكنولوجيات والتطبيقات والمرتبة 232 في منطقة سوريا.
📊 مؤشرات الجمهور والحراك
منذ تأسيسه في невідомо، حقق المشروع نمواً سريعاً وجمع 40 039 مشتركاً.
بحسب آخر البيانات بتاريخ 21 يونيو, 2026، تحافظ القناة على نشاط مستقر. خلال آخر 30 يوماً تغيّر عدد الأعضاء بمقدار 398، وفي آخر 24 ساعة بمقدار -1، مع بقاء الوصول العام مرتفعاً.
- حالة التحقق: غير موثّقة
- معدل التفاعل (ER): يبلغ متوسط تفاعل الجمهور 2.30%. وخلال أول 24 ساعة من النشر يحصد المحتوى عادةً 1.15% من ردود الفعل نسبةً إلى إجمالي المشتركين.
- وصول المنشورات: يحصل كل منشور على متوسط 920 مشاهدة. وخلال اليوم الأول يجمع عادةً 461 مشاهدة.
- التفاعلات والاستجابة: يتفاعل الجمهور بانتظام؛ متوسط التفاعلات لكل منشور يبلغ 3.
- الاهتمامات الموضوعية: يركز المحتوى على مواضيع رئيسية مثل distance, insidead, gpu, learning, degree.
📝 الوصف وسياسة المحتوى
يصف المؤلف القناة بأنها مساحة للتعبير عن الآراء الذاتية:
“Real Machine Learning — simple, practical, and built on experience.
Learn step by step with clear explanations and working code.
Admin: @HusseinSheikho || @Hussein_Sheikho”
بفضل وتيرة التحديث المرتفعة (أحدث البيانات بتاريخ 22 يونيو, 2026) تحافظ القناة على حداثتها ومستوى وصول مرتفع. وتُظهر التحليلات تفاعلاً نشطاً من الجمهور، ما يجعلها نقطة تأثير مهمة ضمن فئة التكنولوجيات والتطبيقات.
40 039
المشتركون
-124 ساعات
+467 أيام
+39830 أيام
أرشيف المشاركات
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Transformer implementations for vision, audio, and AI agents
Repo: https://github.com/Nicolepcx/transformers-the-definitive-guide
40 039
Unlock the inside scoop on Kenya’s trends!
Stop right there! Did you know that Kenya’s entertainment scene is on fire? 🔥 Here’s how you can keep your finger on the pulse:
- Explore the hottest gossip: Discover what’s buzzing with your favorite celebs and artists. 🎤✨
- Be in the loop: Check out what’s trending in music and drama right now. Trust me, you don’t want to miss this!
- Stay safe online: Find out what Kenya’s pushing for to keep social media clean and safe.
Dive deeper into these updates and keep having a blast with your friends! 👉 Get the latest vibes
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Unlock Your Next Manhwa Adventure Did you know 72% of readers miss the latest episodes? Stay ahead with You Are My World!
- Dive into gripping stories with every chapter.
- Join a passionate community of fans.
- Access exclusive content not found anywhere else.
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Don’t let FOMO haunt you-enhance your reading experience today! 👉 Explore Chapters Now
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What if I told you Reel Scoop NG has the hottest movie gossip? 🎬🔥 I’ve been digging around so you don’t have to, and trust me, you wanna be in on this!
- Fresh memes that make Nollywood and Hollywood gossip entertaining 😂
- Blockbuster trailers that’ll get you hyped! 🚀
- Real scoops from the cinema world, wrapped in culture vibes 🌍
- Hot takes that’ll spark some lively chats! 💬
Don’t miss out on the latest buzz; it’s all here, no fluff guaranteed. Join the fun and see what everyone is talking about! 👉 Get the scoop now!
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Repost from Machine Learning with Python
Found an easy way to learn math for ML: Mathematics for Machine Learning 🎓📚
This is a curated collection on GitHub, including books, research papers, video lectures, and basic materials on math for studying and reviewing the mathematical foundations of machine learning. 📖📊
It helps build a stronger knowledge base by bringing together trusted resources around topics that machine learning engineers constantly encounter: linear algebra, mathematical analysis, probability theory, statistics, information theory, matrix calculus, and deep learning mathematics. 🧮🤖
Free public repository on GitHub. 💻✨
https://github.com/dair-ai/Mathematics-for-ML
#MachineLearning #Mathematics #DataScience #Learning #GitHub #AI
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LINK DELETED IN 5 MINUTES !
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40 039
Repost from Data Analytics
Pandas vs Polars vs DuckDB: Which Library Should You Choose? 🤔📊
pandas remains the default choice for notebooks, exploratory analysis, visualization, and machine learning workflows 📝📈. Polars focus on fast, memory-efficient DataFrame processing ⚡💾, while DuckDB brings a SQL-first approach for querying local files and embedded analytics 🗄️🔍.
Each tool fits a different kind of local data workflow 🛠️. In this article, we compare pandas, Polars, and DuckDB across performance, architecture, interoperability, and real-world use cases 🏆🔗.
More: https://www.analyticsvidhya.com/blog/2026/05/pandas-vs-polars-vs-duckdb/ 🔗
#DataScience #Pandas #Polars #DuckDB #Python #Analytics
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Interfaith Christian channel. Daily Bible verses for reflection. Join us!
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🔥 Awesome open-source project to learn more about Transformer Models! 🤖✨
We found this interactive website that shows you visually how transformer models work. 🌐📊
Transformer Explainer:
https://poloclub.github.io/transformer-explainer/
#TransformerModels #OpenSource #AI #MachineLearning #DataScience #Tech
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Interfaith Christian channel. Daily Bible verses for reflection. Join us!
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🚀 Master Binary Classification with Neural Networks! 🧠✨
Ever wondered how to build a neural network from scratch in Python using NumPy? 🐍📊
Binary classification is at the heart of many machine learning applications. 🎯🤖
Our super-detailed guide walks you through the entire process step by step. 📝📚
💡 Dive in and start building your own neural network today! 🏗🔥
https://lnkd.in/e4CydTtB
#MachineLearning #NeuralNetworks #Python #DataScience #AI #Tech
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👣 Rust Interview Deep Dive 🦀🔍
A repository for systematic preparation for Rust interviews at the middle, senior, and staff levels. 💼📚
Inside 100 real questions from interviews in product and infrastructure companies, detailed analyses with code examples and scenarios of tasks that occur in production. 💻🏗️ Not "guess the program's output", but the mechanics on which real services are built. 🛠️🚀
Here are lock-free structures, self-referential types in async, FFI with tensor libraries, correct Send on guards via await, memory ordering under loom, soundness of custom collections. 🔒⚡ And it all starts with the basics. Ownership, borrowing, lifetimes. 🧱🔄 Those who want can start from scratch or at the staff level. 🚶♂️👨💻
https://github.com/Develp10/rustinterviewquiestions 🔗
#Rust #Programming #InterviewPrep #SoftwareEngineering #SystemsProgramming #CareerGrowth
