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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 40 151 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
📌 Event Study Designs: A Beginner’s Guide 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-20 | ⏱️ Read time: 10 min read Event St
📌 Event Study Designs: A Beginner’s Guide 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-20 | ⏱️ Read time: 10 min read Event Study Designs: What are they and what are they not.

📌 Full Guide to Building a Professional Portfolio with Python, Markdown, Git, and GitHub Pages 🗂 Category: 🕒 Date: 2024-07
📌 Full Guide to Building a Professional Portfolio with Python, Markdown, Git, and GitHub Pages 🗂 Category: 🕒 Date: 2024-07-20 | ⏱️ Read time: 11 min read This article is a end-to-end guide to build a professional portfolio for developpers and data…

📌 Modern Enterprise Data Modeling 🗂 Category: DATA ENGINEERING 🕒 Date: 2024-07-20 | ⏱️ Read time: 13 min read How to addre
📌 Modern Enterprise Data Modeling 🗂 Category: DATA ENGINEERING 🕒 Date: 2024-07-20 | ⏱️ Read time: 13 min read How to address the shortcomings of shallow, outdated models and future-proof your modeling strategy

📌 Forecasting in the Age of Foundation Models 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-07-20 | ⏱️ Read time: 17 mi
📌 Forecasting in the Age of Foundation Models 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-07-20 | ⏱️ Read time: 17 min read Benchmarking Lag-Llama against XGBoost

📌 Let’s reproduce NanoGPT with JAX!(Part 1) 🗂 Category: 🕒 Date: 2024-07-21 | ⏱️ Read time: 8 min read Part 1: Build 124M G
📌 Let’s reproduce NanoGPT with JAX!(Part 1) 🗂 Category: 🕒 Date: 2024-07-21 | ⏱️ Read time: 8 min read Part 1: Build 124M GPT2 with JAX. Part 2: Optimize the training speed in Single…

📌 How To Start Technical Writing & Blogging 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-07-21 | ⏱️ Read time: 8 min r
📌 How To Start Technical Writing & Blogging 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-07-21 | ⏱️ Read time: 8 min read Why writing data science blogs changed my career.

📌 Advanced Data Modelling 🗂 Category: ANALYTICS 🕒 Date: 2024-07-21 | ⏱️ Read time: 16 min read Data model layers, environm
📌 Advanced Data Modelling 🗂 Category: ANALYTICS 🕒 Date: 2024-07-21 | ⏱️ Read time: 16 min read Data model layers, environments, tests and data quality explained

📌 Python’s Parallel Paradigm Shift 🗂 Category: DATA ENGINEERING 🕒 Date: 2024-07-22 | ⏱️ Read time: 13 min read Exploring t
📌 Python’s Parallel Paradigm Shift 🗂 Category: DATA ENGINEERING 🕒 Date: 2024-07-22 | ⏱️ Read time: 13 min read Exploring the performance potential of a GIL-free Python

📌 You Don’t Need Matplotlib When Pandas Is Enough for Data Visualisation 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-22 | ⏱️
📌 You Don’t Need Matplotlib When Pandas Is Enough for Data Visualisation 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-22 | ⏱️ Read time: 6 min read One line of code to plot data makes routine EDA jobs easier

📌 Quantifying Burned Areas from Wildfires Using Satellite Imagery 🗂 Category: CLIMATE CHANGE 🕒 Date: 2024-07-22 | ⏱️ Read
📌 Quantifying Burned Areas from Wildfires Using Satellite Imagery 🗂 Category: CLIMATE CHANGE 🕒 Date: 2024-07-22 | ⏱️ Read time: 9 min read Determining the burned area in forests due to wildfires using Sentinel-2 images with Python in…

📌 LangChain’s Parent Document Retriever – Revisited 🗂 Category: 🕒 Date: 2024-07-22 | ⏱️ Read time: 7 min read Enhance retr
📌 LangChain’s Parent Document Retriever – Revisited 🗂 Category: 🕒 Date: 2024-07-22 | ⏱️ Read time: 7 min read Enhance retrieval with context using your vector database only

📌 What Is Causal Inference? 🗂 Category: STATISTICS 🕒 Date: 2024-07-22 | ⏱️ Read time: 13 min read A beginner’s guide to ca
📌 What Is Causal Inference? 🗂 Category: STATISTICS 🕒 Date: 2024-07-22 | ⏱️ Read time: 13 min read A beginner’s guide to causal inference methods: randomized controlled trials, difference-in-differences, synthetic control, and A/B…

📌 Linear Programming Optimization: Foundations 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-22 | ⏱️ Read time: 12 min read Par
📌 Linear Programming Optimization: Foundations 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-22 | ⏱️ Read time: 12 min read Part 1 – Basic Concepts and Examples

📌 Boost Your Data Science Job Hunt During Tech Layoffs, Part I 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-23 | ⏱️ Read time:
📌 Boost Your Data Science Job Hunt During Tech Layoffs, Part I 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-23 | ⏱️ Read time: 7 min read With these 5 actionable steps

📌 Dreaming in Blocks — MineWorld, the Minecraft World Model 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-10-10 | ⏱️ Re
📌 Dreaming in Blocks — MineWorld, the Minecraft World Model 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-10-10 | ⏱️ Read time: 11 min read Explaining “MineWorld: A real-time and open-source interactive world model on Minecraft” in simple terms.

📌 10 Data + AI Observations for Fall 2025 🗂 Category: DATA SCIENCE 🕒 Date: 2025-10-10 | ⏱️ Read time: 10 min read What’s h
📌 10 Data + AI Observations for Fall 2025 🗂 Category: DATA SCIENCE 🕒 Date: 2025-10-10 | ⏱️ Read time: 10 min read What’s happening—and what’s next— for data and AI at the close of 2025.

📌 Python Poetry – The Best Data Science Dependency Management Tool? 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-30 | ⏱️ Read
📌 Python Poetry – The Best Data Science Dependency Management Tool? 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-30 | ⏱️ Read time: 8 min read Poetry makes deploying machine learning applications a breeze – learn how!

📌 How the Rise of Tabular Foundation Models Is Reshaping Data Science 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-10-
📌 How the Rise of Tabular Foundation Models Is Reshaping Data Science 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-10-09 | ⏱️ Read time: 13 min read A turning point for data analysis?

📌 Past is Prologue: How Conversational Analytics Is Changing Data Work 🗂 Category: DATA SCIENCE 🕒 Date: 2025-10-09 | ⏱️ Re
📌 Past is Prologue: How Conversational Analytics Is Changing Data Work 🗂 Category: DATA SCIENCE 🕒 Date: 2025-10-09 | ⏱️ Read time: 7 min read The future of reporting will be about encoding the value proposition of a product into…

📌 The Intersection of Memory and Grounding in AI Systems 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-07-24 | ⏱️ Read
📌 The Intersection of Memory and Grounding in AI Systems 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-07-24 | ⏱️ Read time: 8 min read Understanding the 4 key types of memory, the methods of language model grounding, and the…