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 40 291 مشتركاً، محتلاً المرتبة 3 341 في فئة التكنولوجيات والتطبيقات والمرتبة 226 في منطقة سوريا.
📊 مؤشرات الجمهور والحراك
منذ تأسيسه في невідомо، حقق المشروع نمواً سريعاً وجمع 40 291 مشتركاً.
بحسب آخر البيانات بتاريخ 08 يوليو, 2026، تحافظ القناة على نشاط مستقر. خلال آخر 30 يوماً تغيّر عدد الأعضاء بمقدار 353، وفي آخر 24 ساعة بمقدار 12، مع بقاء الوصول العام مرتفعاً.
- حالة التحقق: غير موثّقة
- معدل التفاعل (ER): يبلغ متوسط تفاعل الجمهور 2.31%. وخلال أول 24 ساعة من النشر يحصد المحتوى عادةً 1.90% من ردود الفعل نسبةً إلى إجمالي المشتركين.
- وصول المنشورات: يحصل كل منشور على متوسط 929 مشاهدة. وخلال اليوم الأول يجمع عادةً 766 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 09 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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40 307
📌 Build Your First API with Python and AWS
🗂 Category: DATA ENGINEERING
🕒 Date: 2025-01-11 | ⏱️ Read time: 12 min read
Learn how to create a simple, yet powerful REST API with FastAPI, DynamoDB, and AWS…
40 307
📌 LightGBM: The Fastest Option of Gradient Boosting
🗂 Category: DATA SCIENCE
🕒 Date: 2025-01-12 | ⏱️ Read time: 7 min read
Learn how to implement a fast and effective Gradient Boosting model using Python
40 307
📌 What Would a Stoic Do? – An AI-Based Decision-Making Model
🗂 Category: DEEP LEARNING
🕒 Date: 2025-01-12 | ⏱️ Read time: 14 min read
Using AI to build Marcus Aurelius’ reincarnation
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📌 What is MicroPython? Do I Need to Know it as a Data Scientist?
🗂 Category: DATA SCIENCE
🕒 Date: 2025-01-12 | ⏱️ Read time: 6 min read
In this year’s edition of the Stack Overflow survey, MicroPython is with 1.6% in the…
40 307
📌 Using Constraint Programming to Solve Math Theorems
🗂 Category: MATHEMATICS
🕒 Date: 2025-01-12 | ⏱️ Read time: 6 min read
Case study: the quasigroups existence problem
40 307
📌 Speed up Pandas code with Numpy
🗂 Category: DATA SCIENCE
🕒 Date: 2025-01-13 | ⏱️ Read time: 13 min read
But I can’t vectorise this, can I? …. yes, you probably can!
40 307
📌 How to Build a Knowledge Graph in Minutes (And Make It Enterprise-Ready)
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-01-13 | ⏱️ Read time: 10 min read
I tried and failed creating one-but it was when LLMs were not a thing!
40 307
📌 Understanding the Evolution of ChatGPT: Part 2 – GPT-2 and GPT-3
🗂 Category: DEEP LEARNING
🕒 Date: 2025-01-13 | ⏱️ Read time: 10 min read
Scaling from 117M to 175B: Insights into GPT-2 and GPT-3.
40 307
📌 Going Beyond Bias-Variance Tradeoff Into Double Descent Phenomenon
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-01-13 | ⏱️ Read time: 22 min read
It’s not how many times you get knocked down that count, it’s how many times…
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📌 A Multimodal AI Assistant: Combining Local and Cloud Models
🗂 Category:
🕒 Date: 2025-01-13 | ⏱️ Read time: 22 min read
Use LangGraph, mlx and Florence2 to build an agent that answers complex image questions, with…
40 307
📌 Contextual Topic Modelling in Chinese Corpora with KeyNMF
🗂 Category: NATURAL LANGUAGE PROCESSING
🕒 Date: 2025-01-13 | ⏱️ Read time: 8 min read
A comprehensive guide on getting the most out of your Chinese topic models, from preprocessing…
40 307
📌 The AI (R)Evolution, Looking From 2024 Into the Immediate Future
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-01-13 | ⏱️ Read time: 17 min read
Witnessing rapid innovation, fierce competition, and transformative tools for life, work, and human development
40 307
📌 Understanding Flash Attention: Writing the Algorithm from Scratch in Triton
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-01-15 | ⏱️ Read time: 7 min read
Find out how Flash Attention works. Afterward, we’ll refine our understanding by writing a GPU…
40 307
📌 Qubits Explained: Everything You Need to Know
🗂 Category: PHYSICS
🕒 Date: 2025-01-15 | ⏱️ Read time: 11 min read
A deep dive into the building block of quantum computers.
40 307
📌 Water Cooler Small Talk, Ep 6: Benford’s Law
🗂 Category: DATA SCIENCE
🕒 Date: 2025-01-15 | ⏱️ Read time: 10 min read
A look into the strange first digit distribution of naturally occurring datasets
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📌 Developing an AI-Powered Smart Guide for Business Planning & Entrepreneurship
🗂 Category: ENTREPRENEURSHIP
🕒 Date: 2025-01-16 | ⏱️ Read time: 35 min read
A LangGraph-based advanced agentic RAG with standard business guides, AI-based web search, trusted sources, and…
40 307
📌 The Death of Human-Written Code Tutorials in the ChatGPT Era … Or Not?
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-01-16 | ⏱️ Read time: 11 min read
An argument in favor of human-written coding tutorials in the new age of LLMs.
40 307
📌 Why Data Scientists Can’t Afford Too Many Dimensions and What They Can Do About It
🗂 Category: DEEP LEARNING
🕒 Date: 2025-01-16 | ⏱️ Read time: 17 min read
An in-depth article about dimensionality reduction and its most popular methods
40 307
📌 Charts, Dashboards, Maps, and More: Data Visualization in the Spotlight
🗂 Category: DATA SCIENCE
🕒 Date: 2025-01-16 | ⏱️ Read time: 4 min read
Our weekly selection of must-read Editors’ Picks and original features
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📌 The Large Language Model Course
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-01-16 | ⏱️ Read time: 21 min read
How to become an LLM Scientist or Engineer from scratch
