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Machine Learning

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Real Machine Learning — simple, practical, and built on experience. Learn step by step with clear explanations and working code. Admin: @HusseinSheikho || @Hussein_Sheikho

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📈 نظرة تحليلية على قناة تيليجرام Machine Learning

تُعد قناة Machine Learning (@machinelearning9) في القطاع اللغوي الإنكليزية لاعباً نشطاً. يضم المجتمع حالياً 40 072 مشتركاً، محتلاً المرتبة 3 398 في فئة التكنولوجيات والتطبيقات والمرتبة 232 في منطقة سوريا.

📊 مؤشرات الجمهور والحراك

منذ تأسيسه في невідомо، حقق المشروع نمواً سريعاً وجمع 40 072 مشتركاً.

بحسب آخر البيانات بتاريخ 23 يونيو, 2026، تحافظ القناة على نشاط مستقر. خلال آخر 30 يوماً تغيّر عدد الأعضاء بمقدار 379، وفي آخر 24 ساعة بمقدار 30، مع بقاء الوصول العام مرتفعاً.

  • حالة التحقق: غير موثّقة
  • معدل التفاعل (ER): يبلغ متوسط تفاعل الجمهور 1.92‎%. وخلال أول 24 ساعة من النشر يحصد المحتوى عادةً 1.16‎% من ردود الفعل نسبةً إلى إجمالي المشتركين.
  • وصول المنشورات: يحصل كل منشور على متوسط 770 مشاهدة. وخلال اليوم الأول يجمع عادةً 466 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 24 يونيو, 2026) تحافظ القناة على حداثتها ومستوى وصول مرتفع. وتُظهر التحليلات تفاعلاً نشطاً من الجمهور، ما يجعلها نقطة تأثير مهمة ضمن فئة التكنولوجيات والتطبيقات.

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📌 How to Define the Modeling Scope of an Internal Credit Risk Model 🗂 Category: DATA SCIENCE 🕒 Date: 2026-02-25 | ⏱️ Read
📌 How to Define the Modeling Scope of an Internal Credit Risk Model 🗂 Category: DATA SCIENCE 🕒 Date: 2026-02-25 | ⏱️ Read time: 9 min read Dataset construction for Internal Ratings-Based (IRB) Probability of Default (PD) models #DataScience #AI #Python

📌 Aliasing in Audio, Easily Explained: From Wagon Wheels to Waveforms 🗂 Category: MACHINE LEARNING 🕒 Date: 2026-02-25 | ⏱️
📌 Aliasing in Audio, Easily Explained: From Wagon Wheels to Waveforms 🗂 Category: MACHINE LEARNING 🕒 Date: 2026-02-25 | ⏱️ Read time: 21 min read Understanding the foundational distortion of digital audio from first principles, with worked examples and visual… #DataScience #AI #Python

📌 Decisioning at the Edge: Policy Matching at Scale 🗂 Category: DATA SCIENCE 🕒 Date: 2026-02-24 | ⏱️ Read time: 13 min rea
📌 Decisioning at the Edge: Policy Matching at Scale 🗂 Category: DATA SCIENCE 🕒 Date: 2026-02-24 | ⏱️ Read time: 13 min read Policy-to-Agency Optimization with PuLP #DataScience #AI #Python

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📌 Optimizing Token Generation in PyTorch Decoder Models 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2026-02-24 | ⏱️ Read t
📌 Optimizing Token Generation in PyTorch Decoder Models 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2026-02-24 | ⏱️ Read time: 17 min read Hiding host-device synchronization via CUDA stream interleaving #DataScience #AI #Python

📌 AI Bots Formed a Cartel. No One Told Them To. 🗂 Category: AGENTIC AI 🕒 Date: 2026-02-24 | ⏱️ Read time: 11 min read Insi
📌 AI Bots Formed a Cartel. No One Told Them To. 🗂 Category: AGENTIC AI 🕒 Date: 2026-02-24 | ⏱️ Read time: 11 min read Inside the research that shows algorithmic price-fixing isn’t a bug in the code. It’s a… #DataScience #AI #Python

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📌 Optimizing Deep Learning Models with SAM 🗂 Category: DEEP LEARNING 🕒 Date: 2026-02-24 | ⏱️ Read time: 16 min read A deep
📌 Optimizing Deep Learning Models with SAM 🗂 Category: DEEP LEARNING 🕒 Date: 2026-02-24 | ⏱️ Read time: 16 min read A deep dive into the Sharpness-Aware-Minimization (SAM) algorithm and how it improves the generalizability of… #DataScience #AI #Python

📌 Build Effective Internal Tooling with Claude Code 🗂 Category: LLM APPLICATIONS 🕒 Date: 2026-02-23 | ⏱️ Read time: 10 min
📌 Build Effective Internal Tooling with Claude Code 🗂 Category: LLM APPLICATIONS 🕒 Date: 2026-02-23 | ⏱️ Read time: 10 min read Use Claude Code to quickly build completely personalized applications #DataScience #AI #Python

📌 AI in Multiple GPUs: Gradient Accumulation & Data Parallelism 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2026-02-23 | ⏱
📌 AI in Multiple GPUs: Gradient Accumulation & Data Parallelism 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2026-02-23 | ⏱️ Read time: 9 min read Learn and implement gradient accum and data parallelism from scratch in PyTorch #DataScience #AI #Python

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🎯 2026 IT Certification Prep Kit – Free! 🔥Whether you're preparing for #Python, #Cisco, #PMI, #Fortinet, #AWS, #Azure, #AI, #Excel, #comptia, #ITIL, #cloud or any other in-demand certification – SPOTO has got you covered! ✅ What’s Inside: ・Free Python, Excel, Cyber Security, Cisco, SQL, ITIL, PMP, AWS courses: https://bit.ly/3M9h5su ・IT Certs E-book: https://bit.ly/3Mlu5ez ・IT Exams Skill Test: https://bit.ly/3NVrgRU ・Free Cloud Study Guide: https://bit.ly/4kgFVDs ・Free AI material and support tools:https://bit.ly/46qvpDX 👉 Become Part of Our IT Learning Circle! resources and support: https://chat.whatsapp.com/FlG2rOYVySLEHLKXF3nKGB 💬 Want exam help? Chat with an admin now! wa.link/8fy3x4

📌 PySpark for Pandas Users 🗂 Category: DATA ENGINEERING 🕒 Date: 2026-02-23 | ⏱️ Read time: 16 min read Common Pandas opera
📌 PySpark for Pandas Users 🗂 Category: DATA ENGINEERING 🕒 Date: 2026-02-23 | ⏱️ Read time: 16 min read Common Pandas operations and their equivalents in PySpark #DataScience #AI #Python

📌 Is the AI and Data Job Market Dead? 🗂 Category: DATA SCIENCE 🕒 Date: 2026-02-23 | ⏱️ Read time: 8 min read What you shou
📌 Is the AI and Data Job Market Dead? 🗂 Category: DATA SCIENCE 🕒 Date: 2026-02-23 | ⏱️ Read time: 8 min read What you should be doing in the current job market #DataScience #AI #Python

📌 The Reality of Vibe Coding: AI Agents and the Security Debt Crisis 🗂 Category: LLM APPLICATIONS 🕒 Date: 2026-02-22 | ⏱️
📌 The Reality of Vibe Coding: AI Agents and the Security Debt Crisis 🗂 Category: LLM APPLICATIONS 🕒 Date: 2026-02-22 | ⏱️ Read time: 6 min read Why optimizing for speed over safety is leaving applications vulnerable, and how to fix it. #DataScience #AI #Python

🏷 Comprehensive Data Science Roadmap NotesThis roadmap is exactly the secret recipe you need to get out of confusion and know how to step-by-step prepare yourself for the job market. 🕡 From mastering Python and SQL to cleaning data and working with cloud tools, which are prerequisites for any project. 🕑 How to extract real analysis reports and strategies from raw data using statistics and visualization tools. 🕗 You will learn everything from machine learning and advanced algorithms to precise model evaluation. 🕙 Get familiar with neural networks, generative artificial intelligence, and language models to have a voice in today's modern world. 🕧 How to build real projects and portfolios that are exactly what hiring managers and big companies are looking for. 🌐 #DataScience #DataScience #pytorch #python #Roadmap https://t.me/CodeProgrammer

🏷 Comprehensive Data Science Roadmap Notes ✅ This roadmap is exactly the secret recipe you need to get out of confusion and
🏷 Comprehensive Data Science Roadmap NotesThis roadmap is exactly the secret recipe you need to get out of confusion and know how to step-by-step prepare yourself for the job market. 🕡 From mastering Python and SQL to cleaning data and working with cloud tools, which are prerequisites for any project. 🕑 How to extract real analysis reports and strategies from raw data using statistics and visualization tools. 🕗 You will learn everything from machine learning and advanced algorithms to precise model evaluation. 🕙 Get familiar with neural networks, generative artificial intelligence, and language models to have a voice in today's modern world. 🕧 How to build real projects and portfolios that are exactly what hiring managers and big companies are looking for. ⚡️ Download it Free 👇: https://lve.to/gs6khab8jq 🌐 #DataScience #DataScience #pytorch #python #Roadmap

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📌 Architecting GPUaaS for Enterprise AI On-Prem 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2026-02-21 | ⏱️ Read time: 16
📌 Architecting GPUaaS for Enterprise AI On-Prem 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2026-02-21 | ⏱️ Read time: 16 min read Multi-tenancy, scheduling, and cost modeling on Kubernetes #DataScience #AI #Python

📌 From Monolith to Contract-Driven Data Mesh 🗂 Category: DATA SCIENCE 🕒 Date: 2026-02-20 | ⏱️ Read time: 12 min read A pra
📌 From Monolith to Contract-Driven Data Mesh 🗂 Category: DATA SCIENCE 🕒 Date: 2026-02-20 | ⏱️ Read time: 12 min read A pragmatic journey using website analytics as a real-world example #DataScience #AI #Python

📌 An End-to-End Guide to Beautifying Your Open-Source Repo with Agentic AI 🗂 Category: LLM APPLICATIONS 🕒 Date: 2026-02-20
📌 An End-to-End Guide to Beautifying Your Open-Source Repo with Agentic AI 🗂 Category: LLM APPLICATIONS 🕒 Date: 2026-02-20 | ⏱️ Read time: 17 min read The guide to automated improvement of scientific and industrial repositories using open-source AI agents #DataScience #AI #Python