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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 40 205 suscriptores, ocupando la posición 3 352 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 40 205 suscriptores.

Según los últimos datos del 02 julio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 343, y en las últimas 24 horas de 10, conservando un alto alcance.

  • Estado de verificación: No verificado
  • Tasa de interacción (ER): El promedio de interacción de la audiencia es 1.99%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 2.28% de reacciones respecto al total de suscriptores.
  • Alcance de las publicaciones: Cada publicación recibe en promedio 800 visualizaciones. En el primer día suele acumular 915 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 03 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.

40 205
Suscriptores
+1024 horas
+837 días
+34330 días
Archivo de publicaciones
📌 Prediction vs. Search Models: What Data Scientists Are Missing 🗂 Category: DATA SCIENCE 🕒 Date: 2025-10-02 | ⏱️ Read tim
📌 Prediction vs. Search Models: What Data Scientists Are Missing 🗂 Category: DATA SCIENCE 🕒 Date: 2025-10-02 | ⏱️ Read time: 23 min read How do platform firms set prices and make money?

📌 Introducing NumPy, Part 3: Manipulating Arrays 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-15 | ⏱️ Read time: 7 min read Sh
📌 Introducing NumPy, Part 3: Manipulating Arrays 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-15 | ⏱️ Read time: 7 min read Shaping, transposing, joining, and splitting arrays

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📌 The “Who Does What” Guide To Enterprise Data Quality 🗂 Category: DATA ENGINEERING 🕒 Date: 2024-09-12 | ⏱️ Read time: 10
📌 The “Who Does What” Guide To Enterprise Data Quality 🗂 Category: DATA ENGINEERING 🕒 Date: 2024-09-12 | ⏱️ Read time: 10 min read One answer and many best practices for how larger organizations can operationalizing data quality programs…

📌 Introducing NumPy, Part 2: Indexing Arrays 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-12 | ⏱️ Read time: 12 min read Slici
📌 Introducing NumPy, Part 2: Indexing Arrays 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-12 | ⏱️ Read time: 12 min read Slicing and dicing like a pro

📌 The Data All Around Us: From Sports to Household Management 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-12 | ⏱️ Read time:
📌 The Data All Around Us: From Sports to Household Management 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-12 | ⏱️ Read time: 4 min read Our weekly selection of must-read Editors’ Picks and original features

📌 The Who, What, Why of AI 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-09-12 | ⏱️ Read time: 10 min read Success star
📌 The Who, What, Why of AI 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-09-12 | ⏱️ Read time: 10 min read Success starts with the questions no one else asks

“Nobody believed you could grow small capital—until I saw this.” $1,000 turned into real profit before my eyes. The secret? B
“Nobody believed you could grow small capital—until I saw this.” $1,000 turned into real profit before my eyes. The secret? Bonus fuel & copytrading with Elite Gold. Want proof? See how it’s actually done before the bonus ends. #ad InsideAds

📌 Can You See the War from Space? 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-12 | ⏱️ Read time: 7 min read Case study of the
📌 Can You See the War from Space? 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-12 | ⏱️ Read time: 7 min read Case study of the Russian-Ukrainian war

📌 Water Cooler Small Talk: Gambler’s Fallacy and Ruin 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-12 | ⏱️ Read time: 12 min r
📌 Water Cooler Small Talk: Gambler’s Fallacy and Ruin 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-12 | ⏱️ Read time: 12 min read An intuitive and thorough explanation of gambling, luck, and risk to keep you from looking…

📌 Hands-On Imitation Learning: From Behavior Cloning to Multi-Modal Imitation Learning 🗂 Category: ARTIFICIAL INTELLIGENCE
📌 Hands-On Imitation Learning: From Behavior Cloning to Multi-Modal Imitation Learning 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-09-12 | ⏱️ Read time: 16 min read An overview of the most prominent methods in imitation learning while testing on a grid…

📌 How the LLM Got Lost in the Network and Discovered Graph Reasoning 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-09-1
📌 How the LLM Got Lost in the Network and Discovered Graph Reasoning 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-09-12 | ⏱️ Read time: 10 min read Enhancing large language models: A journey through graph reasoning and instruction-tuning

📌 Transformer? Diffusion? Transfusion! 🗂 Category: DEEP LEARNING 🕒 Date: 2024-09-12 | ⏱️ Read time: 6 min read A gentle in
📌 Transformer? Diffusion? Transfusion! 🗂 Category: DEEP LEARNING 🕒 Date: 2024-09-12 | ⏱️ Read time: 6 min read A gentle introduction to the latest multi-modal transfusion model

📌 Creating Project Environments in Python with VSCode 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-13 | ⏱️ Read time: 5 min re
📌 Creating Project Environments in Python with VSCode 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-13 | ⏱️ Read time: 5 min read Learn how to manage different environments for your Python projects

📌 Differentiate Noisy Time Series Data with Symbolic Regression 🗂 Category: 🕒 Date: 2024-09-13 | ⏱️ Read time: 17 min read
📌 Differentiate Noisy Time Series Data with Symbolic Regression 🗂 Category: 🕒 Date: 2024-09-13 | ⏱️ Read time: 17 min read A step-by-step example of a possibility to derive a noisy time series profile if data…

📌 MIDI Files as Training Data 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-09-13 | ⏱️ Read time: 10 min read A fundamental di
📌 MIDI Files as Training Data 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-09-13 | ⏱️ Read time: 10 min read A fundamental difference: MIDI scores vs MIDI performances

📌 The Essential Guide to Effectively Summarizing Massive Documents, Part 1 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2024-
📌 The Essential Guide to Effectively Summarizing Massive Documents, Part 1 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2024-09-14 | ⏱️ Read time: 10 min read Document summarization is important for GenAI use-cases, but what if the documents are too BIG!?…

📌 How I Make Time for Everything (Even with a Full-Time Job) 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-14 | ⏱️ Read time: 8
📌 How I Make Time for Everything (Even with a Full-Time Job) 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-14 | ⏱️ Read time: 8 min read How I am able to do YouTube videos, write blogs, and send out a newsletter…

📌 Seven Common Causes of Data Leakage in Machine Learning 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-09-14 | ⏱️ Read
📌 Seven Common Causes of Data Leakage in Machine Learning 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-09-14 | ⏱️ Read time: 8 min read Key Steps in data preprocessing, feature engineering, and train-test splitting to prevent data leakage

📌 Tips on How to Manage Large Scale Data Science Projects 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-09-14 | ⏱️ Read
📌 Tips on How to Manage Large Scale Data Science Projects 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-09-14 | ⏱️ Read time: 7 min read Use these tips to maximize the success of your data science project