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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 40 151 suscriptores, ocupando la posición 3 380 en la categoría Tecnologías y Aplicaciones y el puesto 228 en la región Siria.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 40 151 suscriptores.

Según los últimos datos del 29 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 380, y en las últimas 24 horas de 3, conservando un alto alcance.

  • Estado de verificación: No verificado
  • Tasa de interacción (ER): El promedio de interacción de la audiencia es 2.08%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 1.91% de reacciones respecto al total de suscriptores.
  • Alcance de las publicaciones: Cada publicación recibe en promedio 837 visualizaciones. En el primer día suele acumular 766 visualizaciones.
  • Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 3.
  • 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 30 junio, 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.

40 151
Suscriptores
+324 horas
+1157 días
+38030 días
Archivo de publicaciones
📌 MOE & MOA for Large Language Models 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-07-16 | ⏱️ Read time: 4 min read Se
📌 MOE & MOA for Large Language Models 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-07-16 | ⏱️ Read time: 4 min read Seeking Advice from a Panel of Specialists

📌 Visualizing and Integrating Complex Ideas with LLMs, Part 1: Napkin AI 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-
📌 Visualizing and Integrating Complex Ideas with LLMs, Part 1: Napkin AI 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-07-16 | ⏱️ Read time: 4 min read Discover how AI tools can transform intricate concepts into clear, practical frameworks and diagrams

📌 Exploring the Right Fit: Choosing Primary Keys for Your Database 🗂 Category: DATABASE DESIGN 🕒 Date: 2024-07-16 | ⏱️ Rea
📌 Exploring the Right Fit: Choosing Primary Keys for Your Database 🗂 Category: DATABASE DESIGN 🕒 Date: 2024-07-16 | ⏱️ Read time: 27 min read A practical example of navigating key selection trade-offs in a real-world scenario

🤖🧠 DeepEval: The Ultimate LLM Evaluation Framework for AI Developers 🗓️ 07 Oct 2025 📚 AI News & Trends In today’s AI-driv
🤖🧠 DeepEval: The Ultimate LLM Evaluation Framework for AI Developers 🗓️ 07 Oct 2025 📚 AI News & Trends In today’s AI-driven world, large language models (LLMs) have become central to modern applications from chatbots to intelligent AI agents. However, ensuring the accuracy, reliability and safety of these models is a significant challenge. Even small errors, biases or hallucinations can result in misleading information, frustrated users or business setbacks. This is where DeepEval, an ... #DeepEval #LLM #AIDevelopment #LanguageModels #ModelEvaluation #ArtificialIntelligence

📌 Exploring the Latest Advances in Foundation Time-series Models 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-07-17 |
📌 Exploring the Latest Advances in Foundation Time-series Models 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-07-17 | ⏱️ Read time: 9 min read Fast and accurate forecasting of new data – without training

📌 Judge an LLM Judge: A Dual-Layer Evaluation Framework for Continuous Improvement of LLM Evaluation 🗂 Category: MACHINE LE
📌 Judge an LLM Judge: A Dual-Layer Evaluation Framework for Continuous Improvement of LLM Evaluation 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-07-17 | ⏱️ Read time: 13 min read Can “the evaluation of an LLM application by an LLM judge” be audited by another…

📌 How to Succeed as a Machine Learning Engineer in the Industry 🗂 Category: CAREER ADVICE 🕒 Date: 2024-07-17 | ⏱️ Read tim
📌 How to Succeed as a Machine Learning Engineer in the Industry 🗂 Category: CAREER ADVICE 🕒 Date: 2024-07-17 | ⏱️ Read time: 6 min read 5 tips that helped me consistently exceed expectations in BigTech

🤖🧠 15+ Gemini AI Photo Editing Prompts for Boys: Create Stunning Styles & Expressions in 2025 🗓️ 11 Oct 2025 📚 AI News &
🤖🧠 15+ Gemini AI Photo Editing Prompts for Boys: Create Stunning Styles & Expressions in 2025 🗓️ 11 Oct 2025 📚 AI News & Trends Are you looking to take your portraits to the next level? With Gemini AI Photo Editing Prompts, boys can now turn ordinary photos into ultra-realistic, cinematic or high-fashion images effortlessly. These prompts are specifically designed to work with uploaded images, allowing you to enhance your existing photos while keeping the subject intact. Whether you’re curating ... #GeminiAI #PhotoEditing #PortraitPhotography #AIart #BoysFashion #2025Trends

📌 Data Curation Practices to Minimize Bias in Medical AI 🗂 Category: 🕒 Date: 2024-07-17 | ⏱️ Read time: 9 min read Ensurin
📌 Data Curation Practices to Minimize Bias in Medical AI 🗂 Category: 🕒 Date: 2024-07-17 | ⏱️ Read time: 9 min read Ensuring fair and equitable healthcare outcomes from medical AI applications

🤖🧠 ROMA: The Ultimate AI Framework That Lets You Build High-Performance Agents in Minutes 🗓️ 11 Oct 2025 📚 AI News & Tren
🤖🧠 ROMA: The Ultimate AI Framework That Lets You Build High-Performance Agents in Minutes 🗓️ 11 Oct 2025 📚 AI News & Trends Artificial Intelligence continues to evolve at an unprecedented pace, with agent-based frameworks becoming increasingly important for tackling complex problems. ROMA (Recursive Open Meta-Agents) represents a significant leap forward in this space, providing developers and researchers with a hierarchical, flexible, and high-performance framework for building multi-agent AI systems. This article explores ROMA’s architecture, technical capabilities, practical ... #AI #MachineLearning #MultiAgentSystems #ArtificialIntelligence #HighPerformance #ROMA

📌 Validations in Pydantic V2 🗂 Category: 🕒 Date: 2024-07-17 | ⏱️ Read time: 9 min read Validating with Field, Annotated, f
📌 Validations in Pydantic V2 🗂 Category: 🕒 Date: 2024-07-17 | ⏱️ Read time: 9 min read Validating with Field, Annotated, field validator, and model validator

📌 BlazeFace: How to Run Real-time Object Detection in the Browser 🗂 Category: JAVASCRIPT 🕒 Date: 2024-07-17 | ⏱️ Read time
📌 BlazeFace: How to Run Real-time Object Detection in the Browser 🗂 Category: JAVASCRIPT 🕒 Date: 2024-07-17 | ⏱️ Read time: 14 min read A step-by-step guide to training a BlazeFace model, from the Python training pipeline to the…

🤖🧠 Cognee: Powerful Memory for AI Agents in Just 6 Lines of Code 🗓️ 07 Oct 2025 📚 AI News & Trends Artificial Intelligenc
🤖🧠 Cognee: Powerful Memory for AI Agents in Just 6 Lines of Code 🗓️ 07 Oct 2025 📚 AI News & Trends Artificial Intelligence is evolving rapidly, but one of the biggest challenges for developers is building agents that remember, reason and adapt. Traditional RAG (Retrieval-Augmented Generation) systems often fall short when handling context, scalability and precision. That’s where Cognee comes in. It is an open-source framework designed to provide AI agents with memory using a unique ... #AI #Memory #AIAgents #OpenSource #RAG #ArtificialIntelligence

📌 Semantic Search Engine for Emojis in 50+ Languages Using AI 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-07-17 | ⏱️
📌 Semantic Search Engine for Emojis in 50+ Languages Using AI 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-07-17 | ⏱️ Read time: 14 min read If you are on social media like Twitter or LinkedIn, you have probably noticed that…

📌 AI, Write and Style My CV 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2024-07-18 | ⏱️ Read time: 26 min read Agentic Workf
📌 AI, Write and Style My CV 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2024-07-18 | ⏱️ Read time: 26 min read Agentic Workflow Writing Structured Documents, A Line-by-Line Tutorial

📌 Why Machine Learning Is Not Made for Causal Estimation 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-07-18 | ⏱️ Read time: 1
📌 Why Machine Learning Is Not Made for Causal Estimation 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-07-18 | ⏱️ Read time: 17 min read Predictive vs. causal inference: a critical distinction

🤖🧠 Join the 5-Day AI Agents Intensive Course with Google 🗓️ 07 Oct 2025 📚 AI News & Trends Artificial Intelligence is rap
🤖🧠 Join the 5-Day AI Agents Intensive Course with Google 🗓️ 07 Oct 2025 📚 AI News & Trends Artificial Intelligence is rapidly evolving beyond chatbots and text generation. The next frontier is AI agents — intelligent, autonomous systems that can reason, take action and collaborate with tools and other agents. To help developers and practitioners build these next-generation systems, Google is launching the 5-Day AI Agents Intensive, a no-cost, online program running from ... #aiagents #dayai #googleartificial #agentsintelligent #ai #evolvingchatbots

📌 Introducing Path-Swarm & Super-Swarm: Next Level Swarm Charts 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-18 | ⏱️ Read time
📌 Introducing Path-Swarm & Super-Swarm: Next Level Swarm Charts 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-18 | ⏱️ Read time: 44 min read Learn about Path-Swarm Charts and create you own with Python

📌 How to Plan for Your Next Career Move in Data Science and Machine Learning 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-18 |
📌 How to Plan for Your Next Career Move in Data Science and Machine Learning 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-18 | ⏱️ Read time: 4 min read Our weekly selection of must-read Editors’ Picks and original features

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