متاح الآن! بحث تيليغرام 2025 — أهم رؤى العام 
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📈 نظرة تحليلية على قناة تيليجرام Machine Learning
تُعد قناة Machine Learning (@machinelearning9) في القطاع اللغوي الإنكليزية لاعباً نشطاً. يضم المجتمع حالياً 40 145 مشتركاً، محتلاً المرتبة 3 375 في فئة التكنولوجيات والتطبيقات والمرتبة 227 في منطقة سوريا.
📊 مؤشرات الجمهور والحراك
منذ تأسيسه في невідомо، حقق المشروع نمواً سريعاً وجمع 40 145 مشتركاً.
بحسب آخر البيانات بتاريخ 28 يونيو, 2026، تحافظ القناة على نشاط مستقر. خلال آخر 30 يوماً تغيّر عدد الأعضاء بمقدار 378، وفي آخر 24 ساعة بمقدار 7، مع بقاء الوصول العام مرتفعاً.
- حالة التحقق: غير موثّقة
- معدل التفاعل (ER): يبلغ متوسط تفاعل الجمهور 2.09%. 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 841 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 29 يونيو, 2026) تحافظ القناة على حداثتها ومستوى وصول مرتفع. وتُظهر التحليلات تفاعلاً نشطاً من الجمهور، ما يجعلها نقطة تأثير مهمة ضمن فئة التكنولوجيات والتطبيقات.
40 145
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40 147
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40 147
📌 AI Agent Capabilities Engineering
🗂 Category: CHATGPT
🕒 Date: 2024-06-18 | ⏱️ Read time: 13 min read
Introducing a high-level capabilities engineering framework for AI Agents
40 147
📌 Let’s Revisit Case-When in Different Libraries Including the New Player: Pandas
🗂 Category: DATA SCIENCE
🕒 Date: 2024-06-18 | ⏱️ Read time: 6 min read
How to create conditional columns with different tools.
40 147
📌 Creating an Assistant with OpenAI Assistant API and Streamlit
🗂 Category: MACHINE LEARNING
🕒 Date: 2024-06-18 | ⏱️ Read time: 7 min read
A step-by-step guide
40 147
📌 3 Simple Statistical Methods for Outlier Detection
🗂 Category: DATA SCIENCE
🕒 Date: 2024-06-18 | ⏱️ Read time: 6 min read
If it works, keep it simple
40 147
📌 CLIP, LLaVA, and the Brain
🗂 Category: DEEP LEARNING
🕒 Date: 2024-06-19 | ⏱️ Read time: 10 min read
What neuroscience can teach us about the limitations of modern multimodal transformers
40 147
📌 Counts Outlier Detector: Interpretable Outlier Detection
🗂 Category: DATA SCIENCE
🕒 Date: 2024-06-19 | ⏱️ Read time: 22 min read
An interpretable outlier detector based on multi-dimensional histograms.
40 147
📌 A Step-By-Step Guide to Building a Programming Language
🗂 Category: PROGRAMMING
🕒 Date: 2024-06-19 | ⏱️ Read time: 20 min read
Building a programming language from scratch in a few hours
40 147
📌 How I Dockerized Apache Flink, Kafka, and PostgreSQL for Real-Time Data Streaming
🗂 Category: DATA ENGINEERING
🕒 Date: 2024-06-19 | ⏱️ Read time: 12 min read
Integrating pyFlink, Kafka, and PostgreSQL using Docker
40 147
Repost from Machine Learning with Python
🔗 Keras vs. TensorFlow vs. PyTorch: The ultimate showdown for deep learning supremacy! 🚀
🤔 Keras: The user-friendly champion! Perfect for beginners and rapid prototyping.
⚡️ TensorFlow: The powerhouse! Great for complex projects with extensive capabilities.
🔥 PyTorch: The flexible innovator! With its dynamic computation graph, it’s a favorite among researchers.
👉 @codeprogrammer
40 147
📌 Exploratory Data Analysis in 11 Steps
🗂 Category: DATA SCIENCE
🕒 Date: 2024-06-19 | ⏱️ Read time: 6 min read
Starting an exploratory data analysis can be daunting. How do you know what to look…
40 147
📌 Optimizing Sigma Rules in Spark with the Aho-Corasick Algorithm
🗂 Category: CYBERSECURITY
🕒 Date: 2024-06-20 | ⏱️ Read time: 9 min read
Extending Spark for improved performance in handling multiple search terms
40 147
📌 Using Decision Trees for Exploratory Data Analysis
🗂 Category: DATA SCIENCE
🕒 Date: 2024-06-20 | ⏱️ Read time: 7 min read
Add decision trees to your EDA and get great insights from the start
40 147
🤖🧠 Diffusion Transformers with Representation Autoencoders (RAE): The Next Leap in Generative AI
🗓️ 14 Oct 2025
📚 AI News & Trends
Diffusion Transformers (DiTs) have revolutionized image and video generation enabling stunningly realistic outputs in systems like Stable Diffusion and Imagen. However, despite innovations in transformer architectures and training methods, one crucial element of the diffusion pipeline has remained largely stagnant- the autoencoder that defines the latent space. Most current diffusion models still depend on Variational ...
#DiffusionTransformers #RAE #GenerativeAI #StableDiffusion #Imagen #LatentSpace
40 147
🤖🧠 LLaMAX2 by Nanjing University, HKU, CMU & Shanghai AI Lab: A Breakthrough in Translation-Enhanced Reasoning Models
🗓️ 14 Oct 2025
📚 AI News & Trends
The world of large language models (LLMs) has evolved rapidly, producing advanced systems capable of reasoning, problem-solving, and creative text generation. However, a persistent challenge has been balancing translation quality with reasoning ability. Most translation-enhanced models excel in linguistic diversity but falter in logical reasoning or coding tasks. Addressing this crucial gap, the research paper ...
#LLaMAX2 #TranslationEnhanced #ReasoningModels #LargeLanguageModels #NanjingUniversity #HKU
40 147
🤖🧠 Granite-Speech-3.3-8B: IBM’s Next-Gen Speech-Language Model for Enterprise AI
🗓️ 14 Oct 2025
📚 AI News & Trends
In the fast-growing field of speech and language AI, IBM continues to make strides with its Granite model family , a suite of open enterprise-grade AI models that combine accuracy, safety and efficiency. The latest addition to this ecosystem, Granite-Speech-3.3-8B marks a significant milestone in automatic speech recognition (ASR) and speech translation (AST) technology. Released ...
#SpeechAI #LanguageModel #EnterpriseAI #ASR #SpeechTranslation #GraniteModel
40 147
🤖🧠 Thinking with Camera 2.0: A Powerful Multimodal Model for Camera-Centric Understanding and Generation
🗓️ 14 Oct 2025
📚 AI News & Trends
In the rapidly evolving field of multimodal AI, bridging gaps between vision, language and geometry is one of the frontier challenges. Traditional vision-language models excel at describing what is in an image “a cat on a sofa” “a red car on the road” but struggle to reason about how the image was captured: the camera’s ...
#MultimodalAI #CameraCentricUnderstanding #VisionLanguageModels #AIResearch #ComputerVision #GenerativeModels
40 147
📌 Back to Basics: Databases, SQL, and Other Data-Processing Must-Reads
🗂 Category: DATA SCIENCE
🕒 Date: 2024-06-20 | ⏱️ Read time: 3 min read
Our weekly selection of must-read Editors’ Picks and original features
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Ever wondered how movie insiders get the hottest premieres BEFORE anyone else? I stumbled onto a secret channel where A-listers and true movie fans grab hidden gems, unreleased trailers, and wild backstage stories. Don’t miss the next big reveal — find out here.
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40 147
📌 Should You Join FAANG or a Startup as a Data Scientist?
🗂 Category: CAREER ADVICE
🕒 Date: 2024-06-20 | ⏱️ Read time: 11 min read
Lessons from working at Uber + Meta, a growth stage company and a tiny startup
