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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الشبكة:📈 نظرة تحليلية على قناة تيليجرام Machine Learning
تُعد قناة Machine Learning (@machinelearning9) في القطاع اللغوي الإنكليزية لاعباً نشطاً. يضم المجتمع حالياً 40 334 مشتركاً، محتلاً المرتبة 3 331 في فئة التكنولوجيات والتطبيقات والمرتبة 225 في منطقة سوريا.
📊 مؤشرات الجمهور والحراك
منذ تأسيسه في невідомо، حقق المشروع نمواً سريعاً وجمع 40 334 مشتركاً.
بحسب آخر البيانات بتاريخ 10 يوليو, 2026، تحافظ القناة على نشاط مستقر. خلال آخر 30 يوماً تغيّر عدد الأعضاء بمقدار 383، وفي آخر 24 ساعة بمقدار 25، مع بقاء الوصول العام مرتفعاً.
- حالة التحقق: غير موثّقة
- معدل التفاعل (ER): يبلغ متوسط تفاعل الجمهور 2.35%. وخلال أول 24 ساعة من النشر يحصد المحتوى عادةً 1.95% من ردود الفعل نسبةً إلى إجمالي المشتركين.
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- 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 11 يوليو, 2026) تحافظ القناة على حداثتها ومستوى وصول مرتفع. وتُظهر التحليلات تفاعلاً نشطاً من الجمهور، ما يجعلها نقطة تأثير مهمة ضمن فئة التكنولوجيات والتطبيقات.
40 334
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أرشيف المشاركات
40 334
📌 The Total Derivative: Correcting the Misconception of Backpropagation’s Chain Rule
🗂 Category: MATH
🕒 Date: 2025-05-06 | ⏱️ Read time: 27 min read
What you think you know about backpropagation might be wrong.
40 334
📌 How I Built Business-Automating Workflows with AI Agents
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-05-06 | ⏱️ Read time: 12 min read
How I make money helping businesses boost their productivity and cut costs by automating supply…
40 334
📌 Retrieval Augmented Classification: Improving Text Classification with External Knowledge
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2025-05-06 | ⏱️ Read time: 11 min read
When and How to best use LLMs as text classifiers
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📌 We Need a Fourth Law of Robotics in the Age of AI
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-05-06 | ⏱️ Read time: 6 min read
Artificial Intelligence has become a mainstay of our daily lives, revolutionizing industries, accelerating scientific discoveries,…
40 334
📌 From RGB to HSV — and Back Again
🗂 Category: COMPUTER VISION
🕒 Date: 2025-05-07 | ⏱️ Read time: 7 min read
A practical introduction to color spaces with Python and OpenCV
40 334
📌 Uh-Uh, Not Guilty
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-05-07 | ⏱️ Read time: 7 min read
Who will take the blame for AI mistakes, and what can you do about it?
40 334
📌 Real-Time Interactive Sentiment Analysis in Python
🗂 Category: DATA VISUALIZATION
🕒 Date: 2025-05-07 | ⏱️ Read time: 8 min read
How to visualize sentiment using a procedural smiley face in Python with OpenCV and Tkinter
40 334
📌 Generating Data Dictionary for Excel Files Using OpenPyxl and AI Agents
🗂 Category: DATA SCIENCE
🕒 Date: 2025-05-08 | ⏱️ Read time: 10 min read
Automate Excel Documentation with AI: Leveraging OpenPyxl and Generative AI to create data dictionaries. Learn…
40 334
📌 Pharmacy Placement in Urban Spain
🗂 Category: DATA SCIENCE
🕒 Date: 2025-05-08 | ⏱️ Read time: 22 min read
Identify spatial gaps in the urban pharmacy network suitable for the installation of new pharmacies,…
40 334
📌 The Shadow Side of AutoML: When No-Code Tools Hurt More Than Help
🗂 Category: MACHINE LEARNING
🕒 Date: 2025-05-08 | ⏱️ Read time: 7 min read
Abstraction is nothing new in software, but in machine learning, abstraction without oversight turns automation…
40 334
📌 The Dangers of Deceptive Data Part 2–Base Proportions and Bad Statistics
🗂 Category: DATA VISUALIZATION
🕒 Date: 2025-05-08 | ⏱️ Read time: 7 min read
An accessible dive into correlation, base proportions, summary statistics, and uncertainty.
40 334
📌 ACP: The Internet Protocol for AI Agents
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-05-08 | ⏱️ Read time: 9 min read
ACP aims to be the “HTTP of agent communication,” transforming our current landscape of siloed…
40 334
📌 Model Compression: Make Your Machine Learning Models Lighter and Faster
🗂 Category: MACHINE LEARNING
🕒 Date: 2025-05-08 | ⏱️ Read time: 13 min read
A deep dive into pruning, quantization, distillation, and other techniques to make your neural networks…
40 334
📌 Clustering Eating Behaviors in Time: A Machine Learning Approach to Preventive Health
🗂 Category: MACHINE LEARNING
🕒 Date: 2025-05-08 | ⏱️ Read time: 18 min read
How understanding the timing of meals using machine learning can support preventive healthcare
40 334
📌 How Not to Write an MCP Server
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2025-05-09 | ⏱️ Read time: 13 min read
Five hard lessons learned from my first attempt at leveraging the new MCP technology, a…
40 334
📌 Time Series Forecasting Made Simple (Part 2): Customizing Baseline Models
🗂 Category: DATA SCIENCE
🕒 Date: 2025-05-09 | ⏱️ Read time: 18 min read
From simple averages to blended strategies, this part builds a foundation for better forecasting models.
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📌 A Review of AccentFold: One of the Most Important Papers on African ASR
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-05-09 | ⏱️ Read time: 12 min read
AccentFold tackles a specific issue many of us can relate to: current ASR systems just…
40 334
📌 Log Link vs Log Transformation in R — The Difference that Misleads Your Entire Data Analysis
🗂 Category: DATA SCIENCE
🕒 Date: 2025-05-09 | ⏱️ Read time: 9 min read
Although normal distributions are the most commonly used, a lot of real-world data unfortunately is…
40 334
📌 What My GPT Stylist Taught Me About Prompting Better
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2025-05-09 | ⏱️ Read time: 14 min read
Inside the Strange Behavior of LLMs
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📌 The Art of the Phillips Curve
🗂 Category: ECONOMICS
🕒 Date: 2025-05-12 | ⏱️ Read time: 17 min read
The subjective details holding together one of economics’ favourite models
