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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

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📈 Análisis del canal de Telegram Machine Learning

El canal Machine Learning (@machinelearning9) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 40 334 suscriptores, ocupando la posición 3 331 en la categoría Tecnologías y Aplicaciones y el puesto 225 en la región Siria.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 40 334 suscriptores.

Según los últimos datos del 10 julio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 383, y en las últimas 24 horas de 25, conservando un alto alcance.

  • Estado de verificación: No verificado
  • Tasa de interacción (ER): El promedio de interacción de la audiencia es 2.35%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 1.95% de reacciones respecto al total de suscriptores.
  • Alcance de las publicaciones: Cada publicación recibe en promedio 948 visualizaciones. En el primer día suele acumular 786 visualizaciones.
  • Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 4.
  • Intereses temáticos: El contenido se centra en temas clave como distance, insidead, gpu, learning, degree.

📝 Descripción y política de contenido

El autor describe el recurso como un espacio para expresar opiniones subjetivas:
Real Machine Learning — simple, practical, and built on experience. Learn step by step with clear explanations and working code. Admin: @HusseinSheikho || @Hussein_Sheikho

Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 11 julio, 2026), el canal mantiene la vigencia y un amplio alcance. La analítica demuestra que la audiencia interactúa activamente con el contenido, lo que lo convierte en un punto de referencia dentro de la categoría Tecnologías y Aplicaciones.

40 334
Suscriptores
+2524 horas
+1227 días
+38330 días
Archivo de publicaciones
📌 How to Ensure Your AI Solution Does What You Expect iI to Do 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-04-28 | ⏱️
📌 How to Ensure Your AI Solution Does What You Expect iI to Do 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-04-28 | ⏱️ Read time: 10 min read A Kind Introduction to AI Evals

Repost from Tech Jobs Hub
حوّل فكرتك إلى مشروع ناجح مع ‎#سهول 🚀 منصّة عربية متكاملة لإدارة المشاريع تعتمد على الذكاء الاصطناعي، لتنظيم مهامك وفريقك بس
حوّل فكرتك إلى مشروع ناجح مع ‎#سهول 🚀 منصّة عربية متكاملة لإدارة المشاريع تعتمد على الذكاء الاصطناعي، لتنظيم مهامك وفريقك بسهولة ومرونة. جرّب النسخة التجريبية الآن مجاناً على: suhol.ai للاستفسارات مجموعة سهول على تيليجرام: @suhol_ai ‎#إدارة_المشاريع ‎#ذكاء_اصطناعي ‎#kanban ‎#مشاريع ‎#تطوير

📌 If I Wanted to Become a Machine Learning Engineer, I’d Do This 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-04-28 | ⏱️ Read
📌 If I Wanted to Become a Machine Learning Engineer, I’d Do This 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-04-28 | ⏱️ Read time: 8 min read My advice to becoming a machine learning engineer

📌 The Secret Inner Lives of AI Agents: Understanding How Evolving AI Behavior Impacts Business Risks 🗂 Category: ARTIFICIAL
📌 The Secret Inner Lives of AI Agents: Understanding How Evolving AI Behavior Impacts Business Risks 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-04-29 | ⏱️ Read time: 18 min read Part 2 in a series on rethinking AI alignment and safety in the age of…

📌 Graph Neural Networks Part 4: Teaching Models to Connect the Dots 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-04-29 | ⏱️ R
📌 Graph Neural Networks Part 4: Teaching Models to Connect the Dots 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-04-29 | ⏱️ Read time: 12 min read Heuristic and GNN-based approaches to Link Prediction

📌 AI Agents for a More Sustainable World 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-04-29 | ⏱️ Read time: 9 min read
📌 AI Agents for a More Sustainable World 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-04-29 | ⏱️ Read time: 9 min read How AI agents can help companies measure, optimise and accelerate their sustainability initiatives.

📌 How to Level Up Your Technical Skills in This AI Era 🗂 Category: PRODUCTIVITY 🕒 Date: 2025-04-29 | ⏱️ Read time: 6 min r
📌 How to Level Up Your Technical Skills in This AI Era 🗂 Category: PRODUCTIVITY 🕒 Date: 2025-04-29 | ⏱️ Read time: 6 min read AI tools & vibe coding have hidden tradeoffs. Here’s how to use them wisely and…

📌 Building a Scalable and Accurate Audio Interview Transcription Pipeline with Google Gemini 🗂 Category: LARGE LANGUAGE MOD
📌 Building a Scalable and Accurate Audio Interview Transcription Pipeline with Google Gemini 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-04-29 | ⏱️ Read time: 21 min read From prototype to production: real-world insights into building smarter transcription pipelines with LLMs.

📌 Data Analyst or Data Engineer or Analytics Engineer or BI Engineer ? 🗂 Category: DATA SCIENCE 🕒 Date: 2025-04-29 | ⏱️ Re
📌 Data Analyst or Data Engineer or Analytics Engineer or BI Engineer ? 🗂 Category: DATA SCIENCE 🕒 Date: 2025-04-29 | ⏱️ Read time: 6 min read What’s the real difference?

📌 From FOMO to Opportunity: Analytical AI in the Era of LLM Agents 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-04-29 |
📌 From FOMO to Opportunity: Analytical AI in the Era of LLM Agents 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-04-29 | ⏱️ Read time: 13 min read Why the gold rush toward LLM agents does not make analytical AI obsolete

📌 Reducing Time to Value for Data Science Projects: Part 1 🗂 Category: DATA SCIENCE 🕒 Date: 2025-04-30 | ⏱️ Read time: 10
📌 Reducing Time to Value for Data Science Projects: Part 1 🗂 Category: DATA SCIENCE 🕒 Date: 2025-04-30 | ⏱️ Read time: 10 min read Creating centralized and re-usable components for ease of experimentation

📌 Turning Product Data into Strategic Decisions 🗂 Category: PRODUCT MANAGEMENT 🕒 Date: 2025-04-30 | ⏱️ Read time: 14 min r
📌 Turning Product Data into Strategic Decisions 🗂 Category: PRODUCT MANAGEMENT 🕒 Date: 2025-04-30 | ⏱️ Read time: 14 min read For business leaders, product analytics isn’t just about tracking KPIs or building dashboards

📌 Reinforcement Learning from One Example? 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-04-30 | ⏱️ Read time: 4 min read Why
📌 Reinforcement Learning from One Example? 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-04-30 | ⏱️ Read time: 4 min read Why 1-shot RLVR might be the breakthrough we’ve been waiting for

📌 Beyond Glorified Curve Fitting: Exploring the Probabilistic Foundations of Machine Learning 🗂 Category: MACHINE LEARNING
📌 Beyond Glorified Curve Fitting: Exploring the Probabilistic Foundations of Machine Learning 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-04-30 | ⏱️ Read time: 12 min read An introduction to probabilistic thinking — and why it’s the foundation for robust and explainable…

📌 Why Are Convolutional Neural Networks Great For Images? 🗂 Category: DEEP LEARNING 🕒 Date: 2025-04-30 | ⏱️ Read time: 4 m
📌 Why Are Convolutional Neural Networks Great For Images? 🗂 Category: DEEP LEARNING 🕒 Date: 2025-04-30 | ⏱️ Read time: 4 min read How data symmetry informs neural network architectures

📌 Modern GUI Applications for Computer Vision in Python 🗂 Category: COMPUTER VISION 🕒 Date: 2025-04-30 | ⏱️ Read time: 15
📌 Modern GUI Applications for Computer Vision in Python 🗂 Category: COMPUTER VISION 🕒 Date: 2025-04-30 | ⏱️ Read time: 15 min read Create computer vision applications with a modern graphical user interface in Python using OpenCV and…

📌 How Would I Learn to Code with ChatGPT if I Had to Start Again 🗂 Category: CHATGPT 🕒 Date: 2025-05-01 | ⏱️ Read time: 11
📌 How Would I Learn to Code with ChatGPT if I Had to Start Again 🗂 Category: CHATGPT 🕒 Date: 2025-05-01 | ⏱️ Read time: 11 min read Exploring ChatGPT in my 15 years coding learning journey — Moving beyond copy-pasting

📌 How AI Is Rewriting the Day-to-Day of Data Scientists 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-05-01 | ⏱️ Read t
📌 How AI Is Rewriting the Day-to-Day of Data Scientists 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-05-01 | ⏱️ Read time: 12 min read In my past articles, I have explored and compared many AI tools, for example, Google’s…

📌 April Must-Reads: Agentic AI, Python, and More 🗂 Category: THE VARIABLE 🕒 Date: 2025-05-01 | ⏱️ Read time: 3 min read Th
📌 April Must-Reads: Agentic AI, Python, and More 🗂 Category: THE VARIABLE 🕒 Date: 2025-05-01 | ⏱️ Read time: 3 min read This week, we celebrate recent articles that resonated the most with our community.

📌 Practical Eigenvectors 🗂 Category: DATA SCIENCE 🕒 Date: 2025-05-01 | ⏱️ Read time: 21 min read Learn 80% about what they
📌 Practical Eigenvectors 🗂 Category: DATA SCIENCE 🕒 Date: 2025-05-01 | ⏱️ Read time: 21 min read Learn 80% about what they are and their applications with 20% effort