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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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Machine Learning with Pythonالشبكة:Machine Learning with Pythonسوريا225التكنولوجيات والتطبيقات3 327

📈 نظرة تحليلية على قناة تيليجرام Machine Learning

تُعد قناة Machine Learning (@machinelearning9) في القطاع اللغوي الإنكليزية لاعباً نشطاً. يضم المجتمع حالياً 40 373 مشتركاً، محتلاً المرتبة 3 327 في فئة التكنولوجيات والتطبيقات والمرتبة 225 في منطقة سوريا.

📊 مؤشرات الجمهور والحراك

منذ تأسيسه في невідомо، حقق المشروع نمواً سريعاً وجمع 40 373 مشتركاً.

بحسب آخر البيانات بتاريخ 12 يوليو, 2026، تحافظ القناة على نشاط مستقر. خلال آخر 30 يوماً تغيّر عدد الأعضاء بمقدار 399، وفي آخر 24 ساعة بمقدار 24، مع بقاء الوصول العام مرتفعاً.

  • حالة التحقق: غير موثّقة
  • معدل التفاعل (ER): يبلغ متوسط تفاعل الجمهور 2.42‎%. وخلال أول 24 ساعة من النشر يحصد المحتوى عادةً 1.74‎% من ردود الفعل نسبةً إلى إجمالي المشتركين.
  • وصول المنشورات: يحصل كل منشور على متوسط 979 مشاهدة. وخلال اليوم الأول يجمع عادةً 703 مشاهدة.
  • التفاعلات والاستجابة: يتفاعل الجمهور بانتظام؛ متوسط التفاعلات لكل منشور يبلغ 4.
  • 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 13 يوليو, 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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Machine Learning
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40 373
📌 Introducing Google’s LangExtract tool 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-08-11 | ⏱️ Read time: 12 min read D
📌 Introducing Google’s LangExtract tool 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-08-11 | ⏱️ Read time: 12 min read Do RAG without doing RAG with this powerful new NLP and data extraction library

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📌 Estimating from No Data: Deriving a Continuous Score from Categories 🗂 Category: DATA SCIENCE 🕒 Date: 2025-08-11 | ⏱️ Re
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📌 Fine-Tune Your Topic Modeling Workflow with BERTopic 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-08-12 | ⏱️ Read time: 7 m
📌 Fine-Tune Your Topic Modeling Workflow with BERTopic 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-08-12 | ⏱️ Read time: 7 min read Learn how to fine-tune BERTopic settings for more focused, reproducible, and interpretable results

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📌 A Refined Training Recipe for Fine-Grained Visual Classification 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-08-12 | ⏱️ Re
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📌 Coconut: A Framework for Latent Reasoning in LLMs 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-08-12 | ⏱️ Read time: 1
📌 Coconut: A Framework for Latent Reasoning in LLMs 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-08-12 | ⏱️ Read time: 12 min read Explaining Coconut (Training Large Language Models to Reason in a Continuous Latent Space) in simple…

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📌 Model Predictive Control Basics 🗂 Category: DATA SCIENCE 🕒 Date: 2025-08-12 | ⏱️ Read time: 9 min read A hands-on tutori
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📌 Reducing Time to Value for Data Science Projects: Part 4 🗂 Category: DATA SCIENCE 🕒 Date: 2025-08-12 | ⏱️ Read time: 11
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📌 A Bird’s-Eye View of Linear Algebra: Why Is Matrix Multiplication Like That? 🗂 Category: MATH 🕒 Date: 2025-08-13 | ⏱️ Re
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📌 Tips for Setting Expectations in AI Projects 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-08-13 | ⏱️ Read time: 8 mi
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📌 Data Mesh Diaries: Realities from Early Adopters 🗂 Category: DATA ENGINEERING 🕒 Date: 2025-08-13 | ⏱️ Read time: 7 min r
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📌 How to Use LLMs for Powerful Automatic Evaluations 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-08-13 | ⏱️ Read time:
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📌 “My biggest lesson was realizing that domain expertise matters more than algorithmic complexity.“ 🗂 Category: AUTHOR SPOT
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📌 What Does “Following Best Practices” Mean in the Age of AI? 🗂 Category: THE VARIABLE 🕒 Date: 2025-08-14 | ⏱️ Read time:
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📌 LangGraph 101: Let’s Build A Deep Research Agent 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-08-14 | ⏱️ Read time: 32
📌 LangGraph 101: Let’s Build A Deep Research Agent 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-08-14 | ⏱️ Read time: 32 min read Learn LangGraph fundamentals from Google’s open-source full-stack implementation

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📌 How to Create Powerful LLM Applications with Context Engineering 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-08-18 |
📌 How to Create Powerful LLM Applications with Context Engineering 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-08-18 | ⏱️ Read time: 7 min read Improve your LLM by optimizing its context

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📌 How to Correctly Apply Limits on the Result in DAX (and SQL) 🗂 Category: DATA SCIENCE 🕒 Date: 2025-08-18 | ⏱️ Read time:
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📌 Maximizing AI/ML Model Performance with PyTorch Compilation 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-08-18 | ⏱️ Read ti
📌 Maximizing AI/ML Model Performance with PyTorch Compilation 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-08-18 | ⏱️ Read time: 31 min read Since its inception in PyTorch 2.0 in March 2023, the evolution of torch.compile has been one of…

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📌 Extracting Structured Data with LangExtract: A Deep Dive into LLM-Orchestrated Workflows 🗂 Category: LARGE LANGUAGE MODEL
📌 Extracting Structured Data with LangExtract: A Deep Dive into LLM-Orchestrated Workflows 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-09-06 | ⏱️ Read time: 10 min read A guide to building modular workflows for structured intelligence

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📌 Modular Arithmetic in Data Science 🗂 Category: DATA SCIENCE 🕒 Date: 2025-08-18 | ⏱️ Read time: 10 min read Modular arith
📌 Modular Arithmetic in Data Science 🗂 Category: DATA SCIENCE 🕒 Date: 2025-08-18 | ⏱️ Read time: 10 min read Modular arithmetic is a mathematical system where numbers cycle back to the beginning after reaching…

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📌 Can LangExtract Turn Messy Clinical Notes into Structured Data? 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-08-18 | ⏱
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