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
إظهار المزيد
الشبكة:📈 نظرة تحليلية على قناة تيليجرام Machine Learning
تُعد قناة Machine Learning (@machinelearning9) في القطاع اللغوي الإنكليزية لاعباً نشطاً. يضم المجتمع حالياً 40 365 مشتركاً، محتلاً المرتبة 3 329 في فئة التكنولوجيات والتطبيقات والمرتبة 225 في منطقة سوريا.
📊 مؤشرات الجمهور والحراك
منذ تأسيسه في невідомо، حقق المشروع نمواً سريعاً وجمع 40 365 مشتركاً.
بحسب آخر البيانات بتاريخ 11 يوليو, 2026، تحافظ القناة على نشاط مستقر. خلال آخر 30 يوماً تغيّر عدد الأعضاء بمقدار 393، وفي آخر 24 ساعة بمقدار 17، مع بقاء الوصول العام مرتفعاً.
- حالة التحقق: غير موثّقة
- معدل التفاعل (ER): يبلغ متوسط تفاعل الجمهور 2.29%. 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 924 مشاهدة. وخلال اليوم الأول يجمع عادةً 702 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 12 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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أرشيف المشاركات
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📌 TDS Authors Can Now Edit Their Published Articles
🗂 Category: WRITING
🕒 Date: 2025-07-18 | ⏱️ Read time: 3 min read
One of our guiding principles as a publication is that authors’ work remains theirs. This…
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📌 From Reactive to Predictive: Forecasting Network Congestion with Machine Learning and INT
🗂 Category: MACHINE LEARNING
🕒 Date: 2025-07-18 | ⏱️ Read time: 7 min read
Learn how machine learning can predict network congestion before it happens
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📌 Gain a Better Understanding of Computer Vision: Dynamic SOLO (SOLOv2) with TensorFlow
🗂 Category: COMPUTER VISION
🕒 Date: 2025-07-18 | ⏱️ Read time: 16 min read
A practical approach to instance segmentation using SOLOv2 and TensorFlow
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📌 The Hidden Trap of Fixed and Random Effects
🗂 Category: DATA SCIENCE
🕒 Date: 2025-07-18 | ⏱️ Read time: 6 min read
My lesson of how blindly over-controlling for noise can erase the effects you are measuring
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📌 Exploratory Data Analysis: Gamma Spectroscopy in Python (Part 2)
🗂 Category: MACHINE LEARNING
🕒 Date: 2025-07-18 | ⏱️ Read time: 19 min read
Let’s observe the matter on the atomic level
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📌 How to Create an LLM Judge That Aligns with Human Labels
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2025-07-21 | ⏱️ Read time: 14 min read
A hands-on guide to building and validating LLM evaluators
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📌 Three Career Tips For Gen-Z Data Professionals
🗂 Category: DATA SCIENCE
🕒 Date: 2025-07-21 | ⏱️ Read time: 10 min read
Unsolicited pieces of advice on navigating early career challenges
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📌 Advanced Topic Modeling with LLMs
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2025-07-21 | ⏱️ Read time: 12 min read
A deep dive into topic modeling by leveraging representation models and generative AI with BERTopic
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📌 Hands‑On with Agents SDK: Your First API‑Calling Agent
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-07-21 | ⏱️ Read time: 16 min read
A practical, beginner‑friendly guide to building an AI weather assistant with Python, OpenAI Agents SDK,…
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📌 I Analysed 25,000 Hotel Names and Found Four Surprising Truths
🗂 Category: DATA SCIENCE
🕒 Date: 2025-07-21 | ⏱️ Read time: 10 min read
Why are there so many hotels named after cities they are not in? Follow along…
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📌 How To Significantly Enhance LLMs by Leveraging Context Engineering
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2025-07-21 | ⏱️ Read time: 11 min read
The benefits and practical aspects of context engineering for LLMs
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📌 When LLMs Try to Reason: Experiments in Text and Vision-Based Abstraction
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2025-07-22 | ⏱️ Read time: 21 min read
Can large language models learn to reason abstractly from just a few examples? In this…
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📌 Understanding Matrices | Part 3: Matrix Transpose
🗂 Category: MATH
🕒 Date: 2025-07-22 | ⏱️ Read time: 13 min read
Visualizing matrix transposition, to make sense of transpose-related formulas.
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📌 What Optimization Terminologies for Linear Programming Really Mean
🗂 Category: DATA SCIENCE
🕒 Date: 2025-07-22 | ⏱️ Read time: 11 min read
Understanding the duality of optimization problem, primal to dual conversion, and the optimality conditions for…
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📌 From Rules to Relationships: How Machines Are Learning to Understand Each Other
🗂 Category: MACHINE LEARNING
🕒 Date: 2025-07-22 | ⏱️ Read time: 6 min read
Using knowledge graphs to handle the unexpected in semantic communication
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📌 A Well-Designed Experiment Can Teach You More Than a Time Machine!
🗂 Category: DATA SCIENCE
🕒 Date: 2025-07-22 | ⏱️ Read time: 7 min read
How experimentation is more powerful than knowing counterfactuals
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📌 Things I Wish I Had Known Before Starting ML
🗂 Category: MACHINE LEARNING
🕒 Date: 2025-07-22 | ⏱️ Read time: 9 min read
Part 1: Data, Sales Pitches, Bugs, and Breakthroughs
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📌 NumPy API on a GPU?
🗂 Category: PROGRAMMING
🕒 Date: 2025-07-22 | ⏱️ Read time: 17 min read
It’s here already from Nvidia and it’s called cuNumeric.
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📌 Torchvista: Building an Interactive Pytorch Visualization Package for Notebooks
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-07-23 | ⏱️ Read time: 11 min read
Building a tool to interactively visualize the forward pass of any Pytorch model from within…
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📌 How Not to Mislead with Your Data-Driven Story
🗂 Category: DATA SCIENCE
🕒 Date: 2025-07-23 | ⏱️ Read time: 22 min read
Data storytelling can enlighten—but it can also deceive. When persuasive narratives meet biased framing, cherry-picked…
