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 40 346 مشتركاً، محتلاً المرتبة 3 329 في فئة التكنولوجيات والتطبيقات والمرتبة 225 في منطقة سوريا.
📊 مؤشرات الجمهور والحراك
منذ تأسيسه في невідомо، حقق المشروع نمواً سريعاً وجمع 40 346 مشتركاً.
بحسب آخر البيانات بتاريخ 11 يوليو, 2026، تحافظ القناة على نشاط مستقر. خلال آخر 30 يوماً تغيّر عدد الأعضاء بمقدار 393، وفي آخر 24 ساعة بمقدار 17، مع بقاء الوصول العام مرتفعاً.
- حالة التحقق: غير موثّقة
- معدل التفاعل (ER): يبلغ متوسط تفاعل الجمهور 2.29%. وخلال أول 24 ساعة من النشر يحصد المحتوى عادةً 1.74% من ردود الفعل نسبةً إلى إجمالي المشتركين.
- وصول المنشورات: يحصل كل منشور على متوسط 924 مشاهدة. وخلال اليوم الأول يجمع عادةً 702 مشاهدة.
- 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 12 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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المشتركون
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أرشيف المشاركات
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📌 Applications of Density Estimation to Legal Theory
🗂 Category: DATA SCIENCE
🕒 Date: 2025-06-10 | ⏱️ Read time: 15 min read
A brief analysis using density estimation to compare the two-verdict and three-verdict systems.
40 346
📌 10,000x Faster Bayesian Inference: Multi-GPU SVI vs. Traditional MCMC
🗂 Category: MACHINE LEARNING
🕒 Date: 2025-06-10 | ⏱️ Read time: 18 min read
Using GPU acceleration to speed up Bayesian Inference from months to minutes…
40 346
📌 Automate Models Training: An MLOps Pipeline with Tekton and Buildpacks
🗂 Category: MACHINE LEARNING
🕒 Date: 2025-06-10 | ⏱️ Read time: 11 min read
A step-by-step guide to containerizing and orchestrating an ML training workflow without the Dockerfile headache,…
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📌 Audio Spectrogram Transformers Beyond the Lab
🗂 Category: MACHINE LEARNING
🕒 Date: 2025-06-10 | ⏱️ Read time: 7 min read
A recipe for building a portable soundscape monitoring app with AudioMoth, Raspberry Pi, and a…
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📌 Mobile App Development with Python
🗂 Category: PROGRAMMING
🕒 Date: 2025-06-11 | ⏱️ Read time: 8 min read
Build iOS & Android Apps with Kivy
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📌 Can AI Truly Develop a Memory That Adapts Like Ours?
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-06-12 | ⏱️ Read time: 17 min read
Exploring Titans: A new architecture equipping LLMs with human-inspired memory that learns and updates itself…
40 346
📌 Exploring the Proportional Odds Model for Ordinal Logistic Regression
🗂 Category: DATA SCIENCE
🕒 Date: 2025-06-12 | ⏱️ Read time: 21 min read
Understanding and Implementing Brant’s Tests in Ordinal Logistic Regression with Python
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📌 User Authorisation in Streamlit With OIDC and Google
🗂 Category: DATA SCIENCE
🕒 Date: 2025-06-12 | ⏱️ Read time: 10 min read
Log in to a Streamlit app with a Google email account
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📌 Design Smarter Prompts and Boost Your LLM Output: Real Tricks from an AI Engineer’s Toolbox
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2025-06-12 | ⏱️ Read time: 9 min read
Not just what you ask, but how you ask it. Practical techniques for prompt engineering…
40 346
📌 Agentic AI 103: Building Multi-Agent Teams
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-06-12 | ⏱️ Read time: 9 min read
Build multi-agent teams that can automate tasks and enhance productivity.
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📌 Connecting the Dots for Better Movie Recommendations
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2025-06-12 | ⏱️ Read time: 11 min read
Connecting the Dots for Better Movie Recommendations: Lightweight graph RAG on Rotten Tomatoes movie reviews
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📌 How AI Agents “Talk” to Each Other
🗂 Category: THE VARIABLE
🕒 Date: 2025-06-13 | ⏱️ Read time: 3 min read
Minimize chaos and maintain inter-agent harmony in your projects
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40 346
📌 AI Is Not a Black Box (Relatively Speaking)
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-06-13 | ⏱️ Read time: 7 min read
Compared to the opacity around human intelligence, AI is more transparent in some very tangible…
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📌 What If I had AI in 2018: Rent the Runway Fulfillment Center Optimization
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-06-13 | ⏱️ Read time: 7 min read
An LLM in 2018 would not have trivialized a complex project, although it could have…
40 346
📌 Stop Building AI Platforms
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-06-13 | ⏱️ Read time: 7 min read
When small and medium companies achieve success in building Data and ML platforms, building AI…
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📌 Agents, APIs, and the Next Layer of the Internet
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-06-16 | ⏱️ Read time: 13 min read
Part I: Shipping Containers for Thought Every so often a simple idea rewires everything. The…
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📌 I Won $10,000 in a Machine Learning Competition — Here’s My Complete Strategy
🗂 Category: MACHINE LEARNING
🕒 Date: 2025-06-16 | ⏱️ Read time: 7 min read
Complete guide to feature selection, threshold optimization, and neural network architecture for ML competitions
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📌 Build an AI Agent to Explore Your Data Catalog with Natural Language
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-06-16 | ⏱️ Read time: 7 min read
Leverage LLMs to query your Databricks Data Catalog
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📌 Regularisation: A Deep Dive into Theory, Implementation, and Practical Insights
🗂 Category: DATA SCIENCE
🕒 Date: 2025-06-16 | ⏱️ Read time: 70 min read
A detailed guide on controlling overfitting and increasing the stability of your models.
