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 40 310 مشتركاً، محتلاً المرتبة 3 332 في فئة التكنولوجيات والتطبيقات والمرتبة 225 في منطقة سوريا.
📊 مؤشرات الجمهور والحراك
منذ تأسيسه في невідомо، حقق المشروع نمواً سريعاً وجمع 40 310 مشتركاً.
بحسب آخر البيانات بتاريخ 09 يوليو, 2026، تحافظ القناة على نشاط مستقر. خلال آخر 30 يوماً تغيّر عدد الأعضاء بمقدار 378، وفي آخر 24 ساعة بمقدار 30، مع بقاء الوصول العام مرتفعاً.
- حالة التحقق: غير موثّقة
- معدل التفاعل (ER): يبلغ متوسط تفاعل الجمهور 2.23%. وخلال أول 24 ساعة من النشر يحصد المحتوى عادةً 1.95% من ردود الفعل نسبةً إلى إجمالي المشتركين.
- وصول المنشورات: يحصل كل منشور على متوسط 897 مشاهدة. وخلال اليوم الأول يجمع عادةً 788 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 10 يوليو, 2026) تحافظ القناة على حداثتها ومستوى وصول مرتفع. وتُظهر التحليلات تفاعلاً نشطاً من الجمهور، ما يجعلها نقطة تأثير مهمة ضمن فئة التكنولوجيات والتطبيقات.
40 310
المشتركون
+3024 ساعات
+1067 أيام
+37830 أيام
أرشيف المشاركات
40 307
📌 Preparing PDFs for RAGs
🗂 Category: DATA SCIENCE
🕒 Date: 2025-01-17 | ⏱️ Read time: 5 min read
I created a graph storage from dozens of annual reports (with tables)
40 307
📌 A Practical Exploration of Sora – Intuitively and Exhaustively Explained
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-01-17 | ⏱️ Read time: 23 min read
A new cutting edge video generation tool, and the theory behind it
40 307
📌 Where to Start when Data is Limited: A Guide
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-01-17 | ⏱️ Read time: 23 min read
Overcome small data constraints & ambitious performance requirements-leveraging modern ML to surpass conventional methods.
40 307
📌 My Experience Switching From Power BI to Looker (as a Senior Data Analyst)
🗂 Category: MICROSOFT
🕒 Date: 2025-01-17 | ⏱️ Read time: 17 min read
What you need to know before you switch from Power BI to Looker.
40 307
📌 Showcasing Soaring Wildfire Counts With Streamlit and Python: A Powerful Approach
🗂 Category: DATA VISUALIZATION
🕒 Date: 2025-01-18 | ⏱️ Read time: 13 min read
Analyzing historical wildfire trends in Canada with public data
40 307
📌 Modern Data And Application Engineering Breaks the Loss of Business Context
🗂 Category: DATA ENGINEERING
🕒 Date: 2025-01-18 | ⏱️ Read time: 16 min read
Here’s how your data retains its business relevance as it travels through your enterprise
40 307
📌 How to Log Your Data with MLflow
🗂 Category: DATA SCIENCE
🕒 Date: 2025-01-19 | ⏱️ Read time: 12 min read
Mastering data logging in MLOps for your AI workflow
40 307
📌 Zero-Shot Player Tracking in Tennis with Kalman Filtering
🗂 Category:
🕒 Date: 2025-01-19 | ⏱️ Read time: 10 min read
Automated tennis tracking without labels: GroundingDINO, Kalman filtering, and court homography.
40 307
📌 The Concepts Data Professionals Should Know in 2025: Part 1
🗂 Category: DATA ENGINEERING
🕒 Date: 2025-01-19 | ⏱️ Read time: 14 min read
From Data Lakehouses to Event-Driven Architecture – Master 12 data concepts and turn them into…
40 307
📌 Designing, Building & Deploying an AI Chat App from Scratch (Part 1)
🗂 Category:
🕒 Date: 2025-01-20 | ⏱️ Read time: 19 min read
Microservices Architecture and Local Development
40 307
📌 Designing, Building & Deploying an AI Chat App from Scratch (Part 2)
🗂 Category:
🕒 Date: 2025-01-20 | ⏱️ Read time: 20 min read
Cloud Deployment and Scaling
40 307
📌 The Concepts Data Professionals Should Know in 2025: Part 2
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-01-20 | ⏱️ Read time: 14 min read
From AI Agent to Human-In-The-Loop – Master 12 critical data concepts and turn them into…
40 307
📌 Neural Networks for Time-Series Imputation: Tackling Missing Data
🗂 Category: MACHINE LEARNING
🕒 Date: 2025-01-22 | ⏱️ Read time: 11 min read
Part 3: Discover how a simple Keras sequential model can be effective
40 307
📌 Human Minds and Machine Learning Models
🗂 Category: MACHINE LEARNING
🕒 Date: 2025-01-22 | ⏱️ Read time: 14 min read
Exploring the parallels and differences between psychology and machine learning
40 307
📌 How to Utilize ModernBERT and Synthetic Data for Robust Text Classification
🗂 Category: MACHINE LEARNING
🕒 Date: 2025-01-22 | ⏱️ Read time: 10 min read
Learn how to fine-tune ModernBERT and create augmentations of text samples
40 307
📌 How to Evaluate LLM Summarization
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-01-22 | ⏱️ Read time: 18 min read
A practical and effective guide for evaluating AI summaries
40 307
📌 Topic Modelling in Business Intelligence: FASTopic and BERTopic in Code
🗂 Category: MACHINE LEARNING
🕒 Date: 2025-01-22 | ⏱️ Read time: 11 min read
A comparison of two cutting-edge dynamic topic models solving consumer complaints classification exercise
40 307
📌 Understanding Emergent Capabilities in LLMs: Lessons from Biological Systems
🗂 Category:
🕒 Date: 2025-01-22 | ⏱️ Read time: 24 min read
How natural systems fundamental laws help explain AI’s unexpected abilities
40 307
📌 Harmonizing and Pooling Datasets for Health Research in R
🗂 Category: CODING
🕒 Date: 2025-01-22 | ⏱️ Read time: 11 min read
R code to extract data from unique datasets and combine them in one harmonized dataset…
40 307
📌 Behind the Scenes of a Successful Data Analytics Project
🗂 Category: DATA SCIENCE
🕒 Date: 2025-01-23 | ⏱️ Read time: 10 min read
Learn the steps to approach any data analytics project like a pro.
