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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 40 393 suscriptores, ocupando la posición 3 329 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 40 393 suscriptores.

Según los últimos datos del 12 julio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 399, y en las últimas 24 horas de 24, conservando un alto alcance.

  • Estado de verificación: No verificado
  • Tasa de interacción (ER): El promedio de interacción de la audiencia es 2.42%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 1.74% de reacciones respecto al total de suscriptores.
  • Alcance de las publicaciones: Cada publicación recibe en promedio 979 visualizaciones. En el primer día suele acumular 703 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 13 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.

40 393
Suscriptores
+2424 horas
+1257 días
+39930 días
Archivo de publicaciones
📌 NLP Illustrated, Part 2: Word Embeddings 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-11-27 | ⏱️ Read time: 8 min re
📌 NLP Illustrated, Part 2: Word Embeddings 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-11-27 | ⏱️ Read time: 8 min read An illustrated and intuitive guide to word embeddings

📌 A Story of Long Tails: Why Uncertainty in Marketing Mix Modelling is Important 🗂 Category: MARKETING 🕒 Date: 2024-11-27
📌 A Story of Long Tails: Why Uncertainty in Marketing Mix Modelling is Important 🗂 Category: MARKETING 🕒 Date: 2024-11-27 | ⏱️ Read time: 30 min read "Details matter. It’s worth waiting to get it right." — Steve Jobs What if the…

📌 Autonomous Agent Ecosystems, Data Integration, Open Source LLMs, and Other November Must-Reads 🗂 Category: DATA SCIENCE �
📌 Autonomous Agent Ecosystems, Data Integration, Open Source LLMs, and Other November Must-Reads 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-28 | ⏱️ Read time: 4 min read The stories that resonated the most with our community in the past month

📌 A quick guide to Network Science 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-28 | ⏱️ Read time: 8 min read For those who wo
📌 A quick guide to Network Science 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-28 | ⏱️ Read time: 8 min read For those who would like to learn about complex connections – from theory to practice…

📌 Complete MLOPS Cycle for a Computer Vision Project 🗂 Category: 🕒 Date: 2024-11-28 | ⏱️ Read time: 9 min read These days,
📌 Complete MLOPS Cycle for a Computer Vision Project 🗂 Category: 🕒 Date: 2024-11-28 | ⏱️ Read time: 9 min read These days, we encounter (and maybe produce on our own) many computer vision projects, where…

📌 The Intuition behind Concordance Index – Survival Analysis 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-28 | ⏱️ Read time: 1
📌 The Intuition behind Concordance Index – Survival Analysis 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-28 | ⏱️ Read time: 19 min read Ranking accuracy versus absolute accuracy

📌 GenAI is Reshaping Data Science Teams 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-29 | ⏱️ Read time: 11 min read Challenges
📌 GenAI is Reshaping Data Science Teams 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-29 | ⏱️ Read time: 11 min read Challenges, opportunities, and the evolving role of data scientists

📌 Porting Twitter’s Anomaly Detection Algorithm To Swift 🗂 Category: TWITTER 🕒 Date: 2024-11-29 | ⏱️ Read time: 12 min rea
📌 Porting Twitter’s Anomaly Detection Algorithm To Swift 🗂 Category: TWITTER 🕒 Date: 2024-11-29 | ⏱️ Read time: 12 min read From Twitter to Swift: Building Anomaly Detection.

📌 AI Math: The Bias-Variance Trade-off in Deep Learning 🗂 Category: DEEP LEARNING 🕒 Date: 2024-11-29 | ⏱️ Read time: 60 mi
📌 AI Math: The Bias-Variance Trade-off in Deep Learning 🗂 Category: DEEP LEARNING 🕒 Date: 2024-11-29 | ⏱️ Read time: 60 min read A visual tour from classical statistics to the nuances of deep learning

📌 Multimodal Embeddings: An Introduction 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-29 | ⏱️ Read time: 8 min read Mapping te
📌 Multimodal Embeddings: An Introduction 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-29 | ⏱️ Read time: 8 min read Mapping text and images into a common space

📌 Water Cooler Small Talk: Simpson’s Paradox 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-29 | ⏱️ Read time: 10 min read Is yo
📌 Water Cooler Small Talk: Simpson’s Paradox 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-29 | ⏱️ Read time: 10 min read Is your data tricking you? What can you do about it?

📌 Think you Know Excel? Take Your Analytics Skills to the Next Level with Power Query! 🗂 Category: DATA SCIENCE 🕒 Date: 20
📌 Think you Know Excel? Take Your Analytics Skills to the Next Level with Power Query! 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-29 | ⏱️ Read time: 8 min read 5 practical use cases that prove Power Query is worth exploring.

📌 Dunder Methods: The Hidden Gems of Python 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-30 | ⏱️ Read time: 9 min read Real-wo
📌 Dunder Methods: The Hidden Gems of Python 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-30 | ⏱️ Read time: 9 min read Real-world examples on how actively using special methods can simplify coding and improve readability

📌 Model Validation Techniques, Explained: A Visual Guide with Code Examples 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-11-3
📌 Model Validation Techniques, Explained: A Visual Guide with Code Examples 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-11-30 | ⏱️ Read time: 28 min read 12 must-know methods to validate your machine learning

📌 Grokking Behavioral Interviews 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-30 | ⏱️ Read time: 8 min read Master the art of
📌 Grokking Behavioral Interviews 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-30 | ⏱️ Read time: 8 min read Master the art of behavioral interviews and land your dream job

📌 Making News Recommendations Explainable with Large Language Models 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-11-3
📌 Making News Recommendations Explainable with Large Language Models 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-11-30 | ⏱️ Read time: 7 min read A prompt-based experiment to improve both accuracy and transparent reasoning in content personalization.

📌 How to Solve a Simple Problem With Machine Learning 🗂 Category: DATA SCIENCE 🕒 Date: 2024-12-01 | ⏱️ Read time: 8 min re
📌 How to Solve a Simple Problem With Machine Learning 🗂 Category: DATA SCIENCE 🕒 Date: 2024-12-01 | ⏱️ Read time: 8 min read A technical walkthrough of lesson one

📌 The Lead, Shadow, and Sparring Roles in New Data Settings 🗂 Category: 🕒 Date: 2024-12-01 | ⏱️ Read time: 10 min read Fro
📌 The Lead, Shadow, and Sparring Roles in New Data Settings 🗂 Category: 🕒 Date: 2024-12-01 | ⏱️ Read time: 10 min read From data engineer to domain expert-what it takes to build a new data platform

📌 Smaller Is Smarter 🗂 Category: DATA SCIENCE 🕒 Date: 2024-12-01 | ⏱️ Read time: 4 min read Do you really need the power o
📌 Smaller Is Smarter 🗂 Category: DATA SCIENCE 🕒 Date: 2024-12-01 | ⏱️ Read time: 4 min read Do you really need the power of top LLMs for a tiramisu recipe in Shakespearean…

📌 Modeling DAU with Markov Chain 🗂 Category: 🕒 Date: 2024-12-02 | ⏱️ Read time: 23 min read How to predict DAU using Duoli
📌 Modeling DAU with Markov Chain 🗂 Category: 🕒 Date: 2024-12-02 | ⏱️ Read time: 23 min read How to predict DAU using Duolingo’s growth model and control the prediction