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 40 191 مشتركاً، محتلاً المرتبة 3 381 في فئة التكنولوجيات والتطبيقات والمرتبة 228 في منطقة سوريا.

📊 مؤشرات الجمهور والحراك

منذ تأسيسه في невідомо، حقق المشروع نمواً سريعاً وجمع 40 191 مشتركاً.

بحسب آخر البيانات بتاريخ 01 يوليو, 2026، تحافظ القناة على نشاط مستقر. خلال آخر 30 يوماً تغيّر عدد الأعضاء بمقدار 355، وفي آخر 24 ساعة بمقدار 21، مع بقاء الوصول العام مرتفعاً.

  • حالة التحقق: غير موثّقة
  • معدل التفاعل (ER): يبلغ متوسط تفاعل الجمهور 2.04‎%. وخلال أول 24 ساعة من النشر يحصد المحتوى عادةً 2.12‎% من ردود الفعل نسبةً إلى إجمالي المشتركين.
  • وصول المنشورات: يحصل كل منشور على متوسط 818 مشاهدة. وخلال اليوم الأول يجمع عادةً 851 مشاهدة.
  • التفاعلات والاستجابة: يتفاعل الجمهور بانتظام؛ متوسط التفاعلات لكل منشور يبلغ 2.
  • 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 02 يوليو, 2026) تحافظ القناة على حداثتها ومستوى وصول مرتفع. وتُظهر التحليلات تفاعلاً نشطاً من الجمهور، ما يجعلها نقطة تأثير مهمة ضمن فئة التكنولوجيات والتطبيقات.

40 191
المشتركون
+2124 ساعات
+857 أيام
+35530 أيام
أرشيف المشاركات
📌 Shortest Path Algorithms: How to Use Data to Navigate and Optimize 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-30 | ⏱️ Read
📌 Shortest Path Algorithms: How to Use Data to Navigate and Optimize 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-30 | ⏱️ Read time: 8 min read An Overview of Dijkstra’s Algorithm and Bellman-Ford Algorithm

📌 Spatial Index: R Trees 🗂 Category: DATABASE DESIGN 🕒 Date: 2024-07-30 | ⏱️ Read time: 11 min read Data-driven structures
📌 Spatial Index: R Trees 🗂 Category: DATABASE DESIGN 🕒 Date: 2024-07-30 | ⏱️ Read time: 11 min read Data-driven structures for spatial indexing If you have been following the Spatial Index Series, it…

📌 How To Log Databricks Workflows with the Elastic (ELK) Stack 🗂 Category: DATA ENGINEERING 🕒 Date: 2024-07-30 | ⏱️ Read t
📌 How To Log Databricks Workflows with the Elastic (ELK) Stack 🗂 Category: DATA ENGINEERING 🕒 Date: 2024-07-30 | ⏱️ Read time: 9 min read A practical example of setting up observability for a data pipeline using best practices from…

I discovered a way to boost my productivity by 300% in just one week — and it’s NOT what you think. “My friends didn’t believ
I discovered a way to boost my productivity by 300% in just one week — and it’s NOT what you think. “My friends didn’t believe me until I showed them the results.” Want to know the secret? It’s hidden right here. #ad InsideAds

📌 Case-Study: Multilingual LLM for Questionnaire Summarization 🗂 Category: 🕒 Date: 2024-07-30 | ⏱️ Read time: 12 min read
📌 Case-Study: Multilingual LLM for Questionnaire Summarization 🗂 Category: 🕒 Date: 2024-07-30 | ⏱️ Read time: 12 min read An LLM Approach to Summarizing Students’ Responses for course Questionnaires in Hebrew, Arabic and English

📌 Introduction to Reinforcement Learning and Solving the Multi-armed Bandit Problem 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒
📌 Introduction to Reinforcement Learning and Solving the Multi-armed Bandit Problem 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-07-30 | ⏱️ Read time: 13 min read Dissecting “Reinforcement Learning” by Richard S. Sutton with Custom Python Implementations, Episode I

📌 Python Poetry – The Best Data Science Dependency Management Tool? 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-30 | ⏱️ Read
📌 Python Poetry – The Best Data Science Dependency Management Tool? 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-30 | ⏱️ Read time: 8 min read Poetry makes deploying machine learning applications a breeze – learn how!

Think you missed today’s BIGGEST gold trading move? Get instant, transparent signals for GOLD, free every day! See up to 5 re
Think you missed today’s BIGGEST gold trading move? Get instant, transparent signals for GOLD, free every day! See up to 5 real VIP signals daily — just follow and catch every opportunity. See why traders choose us and never miss a winning entry. Don’t stay behind—profits don’t wait! Join now for your edge. #ad InsideAds

📌 Done is Better Than Perfect 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-30 | ⏱️ Read time: 11 min read How to be more pragm
📌 Done is Better Than Perfect 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-30 | ⏱️ Read time: 11 min read How to be more pragmatic as a Data Scientist, and why it matters for your…

📌 GenAI Is Revolutionizing Search 🗂 Category: SEO 🕒 Date: 2024-07-30 | ⏱️ Read time: 8 min read And why you and your compa
📌 GenAI Is Revolutionizing Search 🗂 Category: SEO 🕒 Date: 2024-07-30 | ⏱️ Read time: 8 min read And why you and your company should care

📌 Using Llama 3 for Building AI Agents 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-07-31 | ⏱️ Read time: 11 min read Compreh
📌 Using Llama 3 for Building AI Agents 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-07-31 | ⏱️ Read time: 11 min read Comprehensive guide to building AI Agents with Llama 3 function calling capabilities.

📌 Diffusion Loss: Every Step Explained 🗂 Category: DEEP LEARNING 🕒 Date: 2024-07-31 | ⏱️ Read time: 19 min read Paper Revi
📌 Diffusion Loss: Every Step Explained 🗂 Category: DEEP LEARNING 🕒 Date: 2024-07-31 | ⏱️ Read time: 19 min read Paper Review: Denoising Diffusion Probabilistic Model (DDPM)

📌 Enhancing E-Commerce with Generative AI – Part 1 🗂 Category: DEEP LEARNING 🕒 Date: 2024-07-31 | ⏱️ Read time: 19 min rea
📌 Enhancing E-Commerce with Generative AI – Part 1 🗂 Category: DEEP LEARNING 🕒 Date: 2024-07-31 | ⏱️ Read time: 19 min read From Data to Product Recommendations

📌 The Most Useful Advanced SQL Techniques to Succeed in the Tech Industry 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-31 | ⏱️
📌 The Most Useful Advanced SQL Techniques to Succeed in the Tech Industry 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-31 | ⏱️ Read time: 8 min read Syntax, use cases and expert tips for mastering advanced SQL

📌 Handling Feedback Loops in Recommender Systems – Deep Bayesian Bandits 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-07-31 |
📌 Handling Feedback Loops in Recommender Systems – Deep Bayesian Bandits 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-07-31 | ⏱️ Read time: 13 min read Understanding fundamentals of exploration and Deep Bayesian Bandits to tackle feedback loops in recommender systems

📌 Better A/B Testing with Survival Analysis 🗂 Category: 🕒 Date: 2024-07-31 | ⏱️ Read time: 5 min read When running experim
📌 Better A/B Testing with Survival Analysis 🗂 Category: 🕒 Date: 2024-07-31 | ⏱️ Read time: 5 min read When running experiments – don’t forget to bring your survival kit

📌 Why Data Processing Is a Vital Skill for Data Scientists 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-31 | ⏱️ Read time: 4 m
📌 Why Data Processing Is a Vital Skill for Data Scientists 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-31 | ⏱️ Read time: 4 min read With pretrained AI models and LLM data analysis on the rise, unique data is the…

📌 Will Transformers Revolutionize Time-Series Forecasting? 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-07-31 | ⏱️ Rea
📌 Will Transformers Revolutionize Time-Series Forecasting? 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-07-31 | ⏱️ Read time: 10 min read With data from industry, academia, and leading researchers

📌 Paws, Claws, and Code: 6 Must-Know Python Examples 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-31 | ⏱️ Read time: 13 min re
📌 Paws, Claws, and Code: 6 Must-Know Python Examples 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-31 | ⏱️ Read time: 13 min read Celebrating International Cat Day with Python

📌 Line-By-Line, Let’s Reproduce GPT-2: Section 2 – Hardware Optimization 🗂 Category: 🕒 Date: 2024-07-31 | ⏱️ Read time: 12
📌 Line-By-Line, Let’s Reproduce GPT-2: Section 2 – Hardware Optimization 🗂 Category: 🕒 Date: 2024-07-31 | ⏱️ Read time: 12 min read This blog post will go line-by-line through the hardware optimizations in Section 2 of Andrej…