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Machine Learning

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 40 145 suscriptores, ocupando la posición 3 375 en la categoría Tecnologías y Aplicaciones y el puesto 227 en la región Siria.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 40 145 suscriptores.

Según los últimos datos del 28 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 378, y en las últimas 24 horas de 7, conservando un alto alcance.

  • Estado de verificación: No verificado
  • Tasa de interacción (ER): El promedio de interacción de la audiencia es 2.09%. 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 841 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 29 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.

40 145
Suscriptores
+724 horas
+1147 días
+37830 días
Archivo de publicaciones
📌 Simple Model Retraining Automation via GitHub Actions 🗂 Category: EDUCATION 🕒 Date: 2024-06-15 | ⏱️ Read time: 13 min re
📌 Simple Model Retraining Automation via GitHub Actions 🗂 Category: EDUCATION 🕒 Date: 2024-06-15 | ⏱️ Read time: 13 min read Easily streamline your modelling process with the GitHub Actions.

📌 Analyzing Unstructured PDF Data w/ Embedding Models and LLMs 🗂 Category: 🕒 Date: 2024-06-15 | ⏱️ Read time: 8 min read H
📌 Analyzing Unstructured PDF Data w/ Embedding Models and LLMs 🗂 Category: 🕒 Date: 2024-06-15 | ⏱️ Read time: 8 min read How to turn PDFs into actionable insights

📌 Comprehensive Guide to Datasets and Dataloaders in PyTorch 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-06-15 | ⏱️ R
📌 Comprehensive Guide to Datasets and Dataloaders in PyTorch 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-06-15 | ⏱️ Read time: 6 min read The full guide to creating custom datasets and dataloaders for different models in PyTorch

📌 How to Build Tools for AI Agents 🗂 Category: AGENTIC AI 🕒 Date: 2025-10-15 | ⏱️ Read time: 10 min read Learn how to desi
📌 How to Build Tools for AI Agents 🗂 Category: AGENTIC AI 🕒 Date: 2025-10-15 | ⏱️ Read time: 10 min read Learn how to design and build effective tools to be used by AI Agents

📌 Beyond Requests: Why httpx is the Modern HTTP Client You Need (Sometimes) 🗂 Category: PROGRAMMING 🕒 Date: 2025-10-15 | ⏱
📌 Beyond Requests: Why httpx is the Modern HTTP Client You Need (Sometimes) 🗂 Category: PROGRAMMING 🕒 Date: 2025-10-15 | ⏱️ Read time: 12 min read A comprehensive comparison of these two Python libraries

📌 Prompt Engineering for Time-Series Analysis with Large Language Models 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-10
📌 Prompt Engineering for Time-Series Analysis with Large Language Models 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-10-15 | ⏱️ Read time: 9 min read Part 1: Prompts for Core Strategies in Time-Series

📌 First Principles Thinking for Data Scientists 🗂 Category: DATA SCIENCE 🕒 Date: 2025-10-15 | ⏱️ Read time: 7 min read The
📌 First Principles Thinking for Data Scientists 🗂 Category: DATA SCIENCE 🕒 Date: 2025-10-15 | ⏱️ Read time: 7 min read The mindset that turns good data scientists into great ones

📌 Using Power BI for Planning (Warehouse) with Stock Values 🗂 Category: 🕒 Date: 2024-06-18 | ⏱️ Read time: 11 min read How
📌 Using Power BI for Planning (Warehouse) with Stock Values 🗂 Category: 🕒 Date: 2024-06-18 | ⏱️ Read time: 11 min read How can we use Power BI to plan for the future using Stock-Measures? Here, I…

Почему живот после родов остаётся выпирающим даже у худышек? Большинство советов по “идеальной фигуре” не работают, потому чт
Почему живот после родов остаётся выпирающим даже у худышек? Большинство советов по “идеальной фигуре” не работают, потому что игнорируют главную причину — смещение органов и нарушение баланса тела. Хватит закрывать глаза! Узнайте, как реально вернуть лёгкость, стройность и здоровье после родов — без диет и изнурительных тренировок. Откройте эффективные методы восстановления здесь — ваше тело заслуживает нового старта! #ad InsideAds

“I watched ONE anime last night… and my mind still can’t process what I saw.” Everyone talks about classics, but nobody menti
“I watched ONE anime last night… and my mind still can’t process what I saw.” Everyone talks about classics, but nobody mentions THIS first episode. Spoilers are everywhere — dare to find out what left me speechless? #ad InsideAds

Ever wondered what top minds are reading, thinking, or creating right now? Discover insights, fresh ideas, and unique perspec
Ever wondered what top minds are reading, thinking, or creating right now? Discover insights, fresh ideas, and unique perspectives you won’t find anywhere else on Clevatess. Step into a world of smart content, handpicked to inspire and challenge you. Don’t miss what everyone smart will be talking about tomorrow — join Clevatess now. #ad InsideAds

🤖🧠 MinerU2.5 by Shanghai AI Lab, Peking University & Shanghai Jiao Tong University Sets New Standard for AI-Powered Documen
🤖🧠 MinerU2.5 by Shanghai AI Lab, Peking University & Shanghai Jiao Tong University Sets New Standard for AI-Powered Document Parsing 🗓️ 15 Oct 2025 📚 AI News & Trends In the world of digital transformation, the ability to accurately extract and interpret information from complex documents is becoming increasingly essential. Whether for academic research, financial analysis or enterprise automation, document parsing – the process of converting structured and unstructured document data into machine-readable formats plays a vital role. Enter MinerU2.5, a groundbreaking vision-language model ...

What’s driving crypto’s biggest players to reshuffle their strategies right now?🚨 Discover the exclusive insights and hottes
What’s driving crypto’s biggest players to reshuffle their strategies right now?🚨 Discover the exclusive insights and hottest news — from double-digit returns to marketing shifts no one else covers. Don’t miss what’s shaping the market before everyone else finds out! Check the inside scoop on Crypto Exclusive now. #ad InsideAds

📌 From English Literature to Data Science 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-16 | ⏱️ Read time: 6 min read How did I
📌 From English Literature to Data Science 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-16 | ⏱️ Read time: 6 min read How did I land a job in data science

📌 Multi AI Agent Systems 101 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-06-16 | ⏱️ Read time: 31 min read Automating
📌 Multi AI Agent Systems 101 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-06-16 | ⏱️ Read time: 31 min read Automating Routine Tasks in Data Source Management with CrewAI

📌 Multi-Framework AI/ML Development with Keras 3 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-06-16 | ⏱️ Read time: 17
📌 Multi-Framework AI/ML Development with Keras 3 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-06-16 | ⏱️ Read time: 17 min read All hail the return of Keras

📌 Spatial Index: Tessellation 🗂 Category: DATABASE DESIGN 🕒 Date: 2024-06-17 | ⏱️ Read time: 15 min read Use of Tessellati
📌 Spatial Index: Tessellation 🗂 Category: DATABASE DESIGN 🕒 Date: 2024-06-17 | ⏱️ Read time: 15 min read Use of Tessellation for Spatial Indexing and how Uber H3 works

📌 UEFA Euro 2024 Map 🗂 Category: DATA VISUALIZATION 🕒 Date: 2024-06-17 | ⏱️ Read time: 6 min read Historical records of th
📌 UEFA Euro 2024 Map 🗂 Category: DATA VISUALIZATION 🕒 Date: 2024-06-17 | ⏱️ Read time: 6 min read Historical records of the UEFA European Championship results

📌 Cheating at Wordle? A Python and Streamlit-Based Solver 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-17 | ⏱️ Read time: 8 mi
📌 Cheating at Wordle? A Python and Streamlit-Based Solver 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-17 | ⏱️ Read time: 8 min read A fun and educational approach to programmatically solving the popular game Wordle

📌 Overcoming (Unintended) Data Jails 🗂 Category: ANALYTICS 🕒 Date: 2024-06-17 | ⏱️ Read time: 6 min read We can do some am
📌 Overcoming (Unintended) Data Jails 🗂 Category: ANALYTICS 🕒 Date: 2024-06-17 | ⏱️ Read time: 6 min read We can do some amazing things with data if it were truly accessible and usable.…