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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Red:📈 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 40 334 suscriptores, ocupando la posición 3 331 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 40 334 suscriptores.
Según los últimos datos del 10 julio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 383, y en las últimas 24 horas de 25, conservando un alto alcance.
- Estado de verificación: No verificado
- Tasa de interacción (ER): El promedio de interacción de la audiencia es 2.35%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 1.95% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 948 visualizaciones. En el primer día suele acumular 786 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 11 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.
40 334
Suscriptores
+2524 horas
+1227 días
+38330 días
Archivo de publicaciones
40 334
📌 The Total Derivative: Correcting the Misconception of Backpropagation’s Chain Rule
🗂 Category: MATH
🕒 Date: 2025-05-06 | ⏱️ Read time: 27 min read
What you think you know about backpropagation might be wrong.
40 334
📌 How I Built Business-Automating Workflows with AI Agents
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-05-06 | ⏱️ Read time: 12 min read
How I make money helping businesses boost their productivity and cut costs by automating supply…
40 334
📌 Retrieval Augmented Classification: Improving Text Classification with External Knowledge
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2025-05-06 | ⏱️ Read time: 11 min read
When and How to best use LLMs as text classifiers
40 334
📌 We Need a Fourth Law of Robotics in the Age of AI
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-05-06 | ⏱️ Read time: 6 min read
Artificial Intelligence has become a mainstay of our daily lives, revolutionizing industries, accelerating scientific discoveries,…
40 334
📌 From RGB to HSV — and Back Again
🗂 Category: COMPUTER VISION
🕒 Date: 2025-05-07 | ⏱️ Read time: 7 min read
A practical introduction to color spaces with Python and OpenCV
40 334
📌 Uh-Uh, Not Guilty
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-05-07 | ⏱️ Read time: 7 min read
Who will take the blame for AI mistakes, and what can you do about it?
40 334
📌 Real-Time Interactive Sentiment Analysis in Python
🗂 Category: DATA VISUALIZATION
🕒 Date: 2025-05-07 | ⏱️ Read time: 8 min read
How to visualize sentiment using a procedural smiley face in Python with OpenCV and Tkinter
40 334
📌 Generating Data Dictionary for Excel Files Using OpenPyxl and AI Agents
🗂 Category: DATA SCIENCE
🕒 Date: 2025-05-08 | ⏱️ Read time: 10 min read
Automate Excel Documentation with AI: Leveraging OpenPyxl and Generative AI to create data dictionaries. Learn…
40 334
📌 Pharmacy Placement in Urban Spain
🗂 Category: DATA SCIENCE
🕒 Date: 2025-05-08 | ⏱️ Read time: 22 min read
Identify spatial gaps in the urban pharmacy network suitable for the installation of new pharmacies,…
40 334
📌 The Shadow Side of AutoML: When No-Code Tools Hurt More Than Help
🗂 Category: MACHINE LEARNING
🕒 Date: 2025-05-08 | ⏱️ Read time: 7 min read
Abstraction is nothing new in software, but in machine learning, abstraction without oversight turns automation…
40 334
📌 The Dangers of Deceptive Data Part 2–Base Proportions and Bad Statistics
🗂 Category: DATA VISUALIZATION
🕒 Date: 2025-05-08 | ⏱️ Read time: 7 min read
An accessible dive into correlation, base proportions, summary statistics, and uncertainty.
40 334
📌 ACP: The Internet Protocol for AI Agents
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-05-08 | ⏱️ Read time: 9 min read
ACP aims to be the “HTTP of agent communication,” transforming our current landscape of siloed…
40 334
📌 Model Compression: Make Your Machine Learning Models Lighter and Faster
🗂 Category: MACHINE LEARNING
🕒 Date: 2025-05-08 | ⏱️ Read time: 13 min read
A deep dive into pruning, quantization, distillation, and other techniques to make your neural networks…
40 334
📌 Clustering Eating Behaviors in Time: A Machine Learning Approach to Preventive Health
🗂 Category: MACHINE LEARNING
🕒 Date: 2025-05-08 | ⏱️ Read time: 18 min read
How understanding the timing of meals using machine learning can support preventive healthcare
40 334
📌 How Not to Write an MCP Server
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2025-05-09 | ⏱️ Read time: 13 min read
Five hard lessons learned from my first attempt at leveraging the new MCP technology, a…
40 334
📌 Time Series Forecasting Made Simple (Part 2): Customizing Baseline Models
🗂 Category: DATA SCIENCE
🕒 Date: 2025-05-09 | ⏱️ Read time: 18 min read
From simple averages to blended strategies, this part builds a foundation for better forecasting models.
40 334
📌 A Review of AccentFold: One of the Most Important Papers on African ASR
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-05-09 | ⏱️ Read time: 12 min read
AccentFold tackles a specific issue many of us can relate to: current ASR systems just…
40 334
📌 Log Link vs Log Transformation in R — The Difference that Misleads Your Entire Data Analysis
🗂 Category: DATA SCIENCE
🕒 Date: 2025-05-09 | ⏱️ Read time: 9 min read
Although normal distributions are the most commonly used, a lot of real-world data unfortunately is…
40 334
📌 What My GPT Stylist Taught Me About Prompting Better
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2025-05-09 | ⏱️ Read time: 14 min read
Inside the Strange Behavior of LLMs
40 334
📌 The Art of the Phillips Curve
🗂 Category: ECONOMICS
🕒 Date: 2025-05-12 | ⏱️ Read time: 17 min read
The subjective details holding together one of economics’ favourite models
