ar
Feedback
Machine Learning

Machine Learning

الذهاب إلى القناة على Telegram

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

📈 نظرة تحليلية على قناة تيليجرام Machine Learning

تُعد قناة Machine Learning (@machinelearning9) في القطاع اللغوي الإنكليزية لاعباً نشطاً. يضم المجتمع حالياً 40 151 مشتركاً، محتلاً المرتبة 3 380 في فئة التكنولوجيات والتطبيقات والمرتبة 228 في منطقة سوريا.

📊 مؤشرات الجمهور والحراك

منذ تأسيسه في невідомо، حقق المشروع نمواً سريعاً وجمع 40 151 مشتركاً.

بحسب آخر البيانات بتاريخ 29 يونيو, 2026، تحافظ القناة على نشاط مستقر. خلال آخر 30 يوماً تغيّر عدد الأعضاء بمقدار 380، وفي آخر 24 ساعة بمقدار 3، مع بقاء الوصول العام مرتفعاً.

  • حالة التحقق: غير موثّقة
  • معدل التفاعل (ER): يبلغ متوسط تفاعل الجمهور 2.08‎%. وخلال أول 24 ساعة من النشر يحصد المحتوى عادةً 1.91‎% من ردود الفعل نسبةً إلى إجمالي المشتركين.
  • وصول المنشورات: يحصل كل منشور على متوسط 837 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 30 يونيو, 2026) تحافظ القناة على حداثتها ومستوى وصول مرتفع. وتُظهر التحليلات تفاعلاً نشطاً من الجمهور، ما يجعلها نقطة تأثير مهمة ضمن فئة التكنولوجيات والتطبيقات.

40 151
المشتركون
+324 ساعات
+1157 أيام
+38030 أيام
أرشيف المشاركات
🎉 Welcome to Inside Ads! 🚀 Inside Ads – a smart tool for growing and monetizing your Telegram channels. 🔥 Benefits of Inside Ads: ✅ Earn without ad posts – make money from your channel even without publishing ads. ✅ Pay for subscribers, not views – you only pay for real subscribers, not vanity metrics. ✅ Subscriber exchange – attract an audience by exchanging subscribers with other channels. ✅ Automatic ad content creation – generate promotional links and posts with one click. ✅ Supports all channel types – works with private and public channels, as well as groups. ✅ Regular payments – earn and receive your payments consistently and on time. 🚀 Start earning and growing your subscribers today! https://t.me/InsideAds_bot/openRU?startapp=r_148350890

📌 Towards Generalization on Graphs: From Invariance to Causality 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-18 | ⏱️ Read tim
📌 Towards Generalization on Graphs: From Invariance to Causality 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-18 | ⏱️ Read time: 19 min read This blog post shares recent papers on out-of-distribution generalization on graph-structured data

📌 A Python Engineer’s Introduction to 3D Gaussian Splatting (Part 3) 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-07-1
📌 A Python Engineer’s Introduction to 3D Gaussian Splatting (Part 3) 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-07-18 | ⏱️ Read time: 9 min read Part 3 of our Gaussian Splatting tutorial, showing how to render splats onto a 2D…

📌 YOLO inference with Docker via API 🗂 Category: DEEP LEARNING 🕒 Date: 2024-07-19 | ⏱️ Read time: 16 min read Learn how to
📌 YOLO inference with Docker via API 🗂 Category: DEEP LEARNING 🕒 Date: 2024-07-19 | ⏱️ Read time: 16 min read Learn how to orchestrate object detection inference via a REST API with Docker

📌 Product Quasi-Experimentation: Statistical Techniques When Standard A/B Testing Is Not Possible 🗂 Category: DATA SCIENCE
📌 Product Quasi-Experimentation: Statistical Techniques When Standard A/B Testing Is Not Possible 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-19 | ⏱️ Read time: 6 min read A guide to the most popular techniques when randomized A/B testing is not possible

📌 Constrained Sentence Generation Using Gibbs Sampling and BERT 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2024-07-19 | ⏱️
📌 Constrained Sentence Generation Using Gibbs Sampling and BERT 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2024-07-19 | ⏱️ Read time: 11 min read A fast and effective approach to generating fluent sentences from given keywords using public pre-trained…

📌 Evaluating ChatGPT’s Data Analysis Improvements: Interactive Tables and Charts 🗂 Category: CHATGPT 🕒 Date: 2024-07-19 |
📌 Evaluating ChatGPT’s Data Analysis Improvements: Interactive Tables and Charts 🗂 Category: CHATGPT 🕒 Date: 2024-07-19 | ⏱️ Read time: 11 min read Is ChatGPT becoming a BI tool?

📌 Streamlining Object Detection with Metaflow, AWS, and Weights & Biases 🗂 Category: 🕒 Date: 2024-07-19 | ⏱️ Read time: 18
📌 Streamlining Object Detection with Metaflow, AWS, and Weights & Biases 🗂 Category: 🕒 Date: 2024-07-19 | ⏱️ Read time: 18 min read How to create a production-grade pipeline for object detection

📌 Battling Open Book Exams with Open Source LLMs 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-19 | ⏱️ Read time: 10 min read I
📌 Battling Open Book Exams with Open Source LLMs 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-19 | ⏱️ Read time: 10 min read In the age where everyone uses ChatGPT for work and school, I am taking advantage…

📌 Understanding Positional Embeddings in Transformers: From Absolute to Rotary 🗂 Category: DEEP LEARNING 🕒 Date: 2024-07-2
📌 Understanding Positional Embeddings in Transformers: From Absolute to Rotary 🗂 Category: DEEP LEARNING 🕒 Date: 2024-07-20 | ⏱️ Read time: 19 min read A deep dive into absolute, relative, and rotary positional embeddings with code examples

📌 Three Mind-Blowing Ideas in Physics: The Stationary Action Principle, Lorentz Transformations, and… 🗂 Category: DATA SCIE
📌 Three Mind-Blowing Ideas in Physics: The Stationary Action Principle, Lorentz Transformations, and… 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-23 | ⏱️ Read time: 31 min read How mathematical innovations yield increasingly more accurate models of the physical world

📌 Counterfactuals in Language AI 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2024-07-23 | ⏱️ Read time: 34 min read with ope
📌 Counterfactuals in Language AI 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2024-07-23 | ⏱️ Read time: 34 min read with open source language models and LLMs

📌 Line By Line, Let’s Reproduce GPT-2: Section 1 🗂 Category: 🕒 Date: 2024-07-23 | ⏱️ Read time: 26 min read This blog post
📌 Line By Line, Let’s Reproduce GPT-2: Section 1 🗂 Category: 🕒 Date: 2024-07-23 | ⏱️ Read time: 26 min read This blog post will go line-by-line through the code in Section 1 of Andrej Karpathy’s…

📌 I Used to Hate Overfitting, But Now I’m Grokking It 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-23 | ⏱️ Read time: 9 min re
📌 I Used to Hate Overfitting, But Now I’m Grokking It 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-23 | ⏱️ Read time: 9 min read The surprising generalisation beyond overfitting

📌 Summer Olympic Games Through the Lens of Data 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-23 | ⏱️ Read time: 13 min read Us
📌 Summer Olympic Games Through the Lens of Data 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-23 | ⏱️ Read time: 13 min read Using Python and Wikipedia to draw geographical and network maps of the medal-winning countries.

📌 From Ephemeral to Persistence with LangChain: Building Long-Term Memory in Chatbots 🗂 Category: ARTIFICIAL INTELLIGENCE �
📌 From Ephemeral to Persistence with LangChain: Building Long-Term Memory in Chatbots 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-07-23 | ⏱️ Read time: 8 min read A detailed walkthrough on transforming simple chatbots into sophisticated AI assistants with long-term memory and…

📌 Evolution of Data Science: New Age Skills for the Modern End-to-End Data Scientist 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒
📌 Evolution of Data Science: New Age Skills for the Modern End-to-End Data Scientist 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-07-23 | ⏱️ Read time: 27 min read From Python scripting to data engineering, MLOps, and GenAI

📌 Organizations’ Machine Learning Investment Is (or Should Be) Incremental 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-23 | ⏱
📌 Organizations’ Machine Learning Investment Is (or Should Be) Incremental 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-23 | ⏱️ Read time: 8 min read Embedding ML systems into production is still a hard thing to do (for most companies)

📌 Monocular Depth Estimation with Depth Anything V2 🗂 Category: DEEP LEARNING 🕒 Date: 2024-07-24 | ⏱️ Read time: 11 min re
📌 Monocular Depth Estimation with Depth Anything V2 🗂 Category: DEEP LEARNING 🕒 Date: 2024-07-24 | ⏱️ Read time: 11 min read How do neural networks learn to estimate depth from 2D images?

Missed the last big airdrop? Don’t repeat it. Padma turns grinding into a clear loop: finish daily quests, unlock upgrades an
Missed the last big airdrop? Don’t repeat it. Padma turns grinding into a clear loop: finish daily quests, unlock upgrades and artifacts drops, and convert progress into PAD tokens. Start early this season to grab higher multipliers and leaderboard rewards. Start now! #ad InsideAds