ar
Feedback
Machine Learning

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 40 202 مشتركاً، محتلاً المرتبة 3 365 في فئة التكنولوجيات والتطبيقات والمرتبة 227 في منطقة سوريا.

📊 مؤشرات الجمهور والحراك

منذ تأسيسه في невідомо، حقق المشروع نمواً سريعاً وجمع 40 202 مشتركاً.

بحسب آخر البيانات بتاريخ 02 يوليو, 2026، تحافظ القناة على نشاط مستقر. خلال آخر 30 يوماً تغيّر عدد الأعضاء بمقدار 343، وفي آخر 24 ساعة بمقدار 10، مع بقاء الوصول العام مرتفعاً.

  • حالة التحقق: غير موثّقة
  • معدل التفاعل (ER): يبلغ متوسط تفاعل الجمهور 1.99‎%. وخلال أول 24 ساعة من النشر يحصد المحتوى عادةً 2.28‎% من ردود الفعل نسبةً إلى إجمالي المشتركين.
  • وصول المنشورات: يحصل كل منشور على متوسط 800 مشاهدة. وخلال اليوم الأول يجمع عادةً 915 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 03 يوليو, 2026) تحافظ القناة على حداثتها ومستوى وصول مرتفع. وتُظهر التحليلات تفاعلاً نشطاً من الجمهور، ما يجعلها نقطة تأثير مهمة ضمن فئة التكنولوجيات والتطبيقات.

40 202
المشتركون
+1024 ساعات
+837 أيام
+34330 أيام
أرشيف المشاركات
This GitHub repository is a real treasure trove of free programming books. Here you'll find hundreds of books on topics like #AI, #blockchain, app development, #game development, #Python #webdevelopment, #promptengineering, and many more ✋ GitHub: https://github.com/EbookFoundation/free-programming-books https://t.me/CodeProgrammer

“Nobody believed you could grow small capital—until I saw this.” $1,000 turned into real profit before my eyes. The secret? B
“Nobody believed you could grow small capital—until I saw this.” $1,000 turned into real profit before my eyes. The secret? Bonus fuel & copytrading with Elite Gold. Want proof? See how it’s actually done before the bonus ends. #ad InsideAds

Ever wonder how real traders grow $1,000 into proven profits—step by step, with full transparency? Elite Gold Trading opens t
Ever wonder how real traders grow $1,000 into proven profits—step by step, with full transparency? Elite Gold Trading opens the door to professional copytrading, verified results, and exclusive strategies you can follow today. New members get a 100% deposit bonus—start with a real edge from day one. Ready to see how the pros do it? Join now & claim your bonus before this offer ends! #ad InsideAds

📌 The Evolution of Llama: From Llama 1 to Llama 3.1 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-09-06 | ⏱️ Read time:
📌 The Evolution of Llama: From Llama 1 to Llama 3.1 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-09-06 | ⏱️ Read time: 17 min read A Comprehensive Guide to the Advancements and Innovations in the Family of Llama Models from…

📌 Scaling Numerical Data, Explained: A Visual Guide with Code Examples for Beginners 🗂 Category: DATA SCIENCE 🕒 Date: 2024
📌 Scaling Numerical Data, Explained: A Visual Guide with Code Examples for Beginners 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-06 | ⏱️ Read time: 10 min read Transforming adult-sized data for child-like models

📌 An Intuitive Introduction to Reinforcement Learning, Part I 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-09-06 | ⏱️ Read ti
📌 An Intuitive Introduction to Reinforcement Learning, Part I 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-09-06 | ⏱️ Read time: 21 min read Exploring popular reinforcement learning environments, in a beginner-friendly way

📌 How to Implement Graph RAG Using Knowledge Graphs and Vector Databases 🗂 Category: 🕒 Date: 2024-09-06 | ⏱️ Read time: 49
📌 How to Implement Graph RAG Using Knowledge Graphs and Vector Databases 🗂 Category: 🕒 Date: 2024-09-06 | ⏱️ Read time: 49 min read The accompanying code for this tutorial is here. My last blog post was about how to implement knowledge…

📌 Heatmap for Confusion Matrix in Python 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-06 | ⏱️ Read time: 5 min read One image
📌 Heatmap for Confusion Matrix in Python 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-06 | ⏱️ Read time: 5 min read One image can be worth of thousands words.

📌 Why Ratios Trump Raw Numbers in Business Health 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-06 | ⏱️ Read time: 5 min read U
📌 Why Ratios Trump Raw Numbers in Business Health 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-06 | ⏱️ Read time: 5 min read Understanding ratios is key to unlocking deeper insights into your business’s health and driving smarter…

📌 Achieve Better Classification Results with ClassificationThresholdTuner 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-07 | ⏱️
📌 Achieve Better Classification Results with ClassificationThresholdTuner 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-07 | ⏱️ Read time: 37 min read A python tool to tune and visualize the threshold choices for binary and multi-class classification…

📌 Forever Learning: Why AI Struggles with Adapting to New Challenges 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-09-0
📌 Forever Learning: Why AI Struggles with Adapting to New Challenges 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-09-07 | ⏱️ Read time: 16 min read Understanding the limits of deep learning and the quest for true continual adaptation

📌 From Theory to Practice with Particle Swarm Optimization, Using Python 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-
📌 From Theory to Practice with Particle Swarm Optimization, Using Python 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-09-07 | ⏱️ Read time: 11 min read Here’s a tutorial on what PSO is and how to use it

📌 The Price of Gold: Is Olympic Success Reserved for the Wealthy? 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-07 | ⏱️ Read ti
📌 The Price of Gold: Is Olympic Success Reserved for the Wealthy? 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-07 | ⏱️ Read time: 15 min read Analyzing 30 years of Olympic Games medals distribution and national wealth indicators

📌 Calculating Contact 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-07 | ⏱️ Read time: 8 min read A Data-Driven Look at Alien C
📌 Calculating Contact 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-07 | ⏱️ Read time: 8 min read A Data-Driven Look at Alien Civilizations (Part 1 of the Drake Equation Series)

📌 From Stars to Life 🗂 Category: 🕒 Date: 2024-09-07 | ⏱️ Read time: 12 min read A Data-Driven Journey (Part 2 of the Drake
📌 From Stars to Life 🗂 Category: 🕒 Date: 2024-09-07 | ⏱️ Read time: 12 min read A Data-Driven Journey (Part 2 of the Drake Equation Series)

📌 How I Solved LinkedIn Queens Game Using Backtracking 🗂 Category: 🕒 Date: 2024-09-07 | ⏱️ Read time: 11 min read Using Op
📌 How I Solved LinkedIn Queens Game Using Backtracking 🗂 Category: 🕒 Date: 2024-09-07 | ⏱️ Read time: 11 min read Using OpenCV to auto-detect puzzle and redraw the final answer

📌 Understanding Einstein’s Notation and einsum Multiplication 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-09-08 | ⏱️
📌 Understanding Einstein’s Notation and einsum Multiplication 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-09-08 | ⏱️ Read time: 5 min read Perform higher-order tensor operations with string notation

📌 Communicating with the Cosmos 🗂 Category: 🕒 Date: 2024-09-08 | ⏱️ Read time: 15 min read Estimating Alien Civilizations
📌 Communicating with the Cosmos 🗂 Category: 🕒 Date: 2024-09-08 | ⏱️ Read time: 15 min read Estimating Alien Civilizations (Part 3 of the Drake Equation Series)

📌 Intuitive Explanation of Async / Await in JavaScript 🗂 Category: JAVASCRIPT 🕒 Date: 2024-09-08 | ⏱️ Read time: 11 min re
📌 Intuitive Explanation of Async / Await in JavaScript 🗂 Category: JAVASCRIPT 🕒 Date: 2024-09-08 | ⏱️ Read time: 11 min read Designing asynchronous pipelines for efficient data processing

📌 Python QuickStart for People Learning AI 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-08 | ⏱️ Read time: 15 min read A begin
📌 Python QuickStart for People Learning AI 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-08 | ⏱️ Read time: 15 min read A beginner-friendly guide