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 40 346 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 40 346 suscriptores.
Según los últimos datos del 11 julio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 393, y en las últimas 24 horas de 17, conservando un alto alcance.
- Estado de verificación: No verificado
- Tasa de interacción (ER): El promedio de interacción de la audiencia es 2.29%. 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 924 visualizaciones. En el primer día suele acumular 702 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 12 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.
40 346
Suscriptores
+1724 horas
+1237 días
+39330 días
Archivo de publicaciones
40 352
📌 June Must-Reads: AI Agents, Dashboards, and More
🗂 Category: THE VARIABLE
🕒 Date: 2025-07-03 | ⏱️ Read time: 4 min read
A selection of our most-read and -shared articles of the past month.
40 352
📌 GraphRAG in Action: A Simple Agent for Know-Your-Customer Investigations
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-07-03 | ⏱️ Read time: 19 min read
This blog post provides a hands-on guide for AI engineers and developers on how to…
40 352
📌 Fairness Pruning: Precision Surgery to Reduce Bias in LLMs
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2025-07-03 | ⏱️ Read time: 15 min read
From unjustified shootings to neutral stories: how to fix toxic narratives with selective pruning
40 352
📌 Explainable Anomaly Detection with RuleFit: An Intuitive Guide
🗂 Category: MACHINE LEARNING
🕒 Date: 2025-07-04 | ⏱️ Read time: 13 min read
Creating interpretable rules to characterize the identified anomalies
40 352
📌 Change-Aware Data Validation with Column-Level Lineage
🗂 Category: DATA SCIENCE
🕒 Date: 2025-07-04 | ⏱️ Read time: 8 min read
Data transformation tools like dbt make constructing SQL data pipelines easy and systematic. But even…
40 352
📌 Rethinking Data Science Interviews in the Age of AI
🗂 Category: DATA SCIENCE
🕒 Date: 2025-07-04 | ⏱️ Read time: 11 min read
How AI is transforming data science interviews—and what hiring managers and candidates should do to…
40 352
📌 My Honest Advice for Aspiring Machine Learning Engineers
🗂 Category: MACHINE LEARNING
🕒 Date: 2025-07-04 | ⏱️ Read time: 6 min read
What it really takes to become a machine learning engineer
40 352
📌 Implementing the Coffee Machine in Python
🗂 Category: PROGRAMMING
🕒 Date: 2025-09-08 | ⏱️ Read time: 8 min read
A beginner-friendly step-by-step guide to coding a Coffee Maker in Python
40 352
Repost from Machine Learning with Python
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40 352
📌 Liberating Performance with Immutable DataFrames in Free-Threaded Python
🗂 Category: DATA SCIENCE
🕒 Date: 2025-07-07 | ⏱️ Read time: 7 min read
How StaticFrame and Python 3.13t enable true thread-based concurrency
40 352
📌 Where Are We with Shor’s Algorithm?
🗂 Category: PROGRAMMING
🕒 Date: 2025-07-07 | ⏱️ Read time: 28 min read
A deep dive into the implementation of Shor’s algorithm and an analysis of quantum runs…
40 352
📌 Build Algorithm-Agnostic ML Pipelines in a Breeze
🗂 Category: MACHINE LEARNING
🕒 Date: 2025-07-07 | ⏱️ Read time: 20 min read
The framework is now an open-source Python package for streamlined ML workflows
40 352
📌 POSET Representations in Python Can Have a Huge Impact on Business
🗂 Category: DATA SCIENCE
🕒 Date: 2025-07-07 | ⏱️ Read time: 14 min read
Discover how POSET indicators transform data into coherent scoring systems, enabling meaningful comparisons while preserving…
40 352
📌 Your Personal Analytics Toolbox
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-07-07 | ⏱️ Read time: 15 min read
Leveraging MCP for automating your daily routine
40 352
📌 The Five-Second Fingerprint: Inside Shazam’s Instant Song ID
🗂 Category: DATA SCIENCE
🕒 Date: 2025-07-07 | ⏱️ Read time: 9 min read
How Shazam recognizes songs in seconds
40 352
📌 Run Your Python Code up to 80x Faster Using the Cython Library
🗂 Category: PROGRAMMING
🕒 Date: 2025-07-08 | ⏱️ Read time: 13 min read
A four-step plan for C language speed where it matters most
40 352
📌 Microsoft’s Revolutionary Diagnostic Medical AI, Explained
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-07-08 | ⏱️ Read time: 12 min read
Microsoft’s latest paper discusses a path to medical superintelligence. How close are we, really?
40 352
📌 Build Interactive Machine Learning Apps with Gradio
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-07-08 | ⏱️ Read time: 7 min read
Create a fun text-to-speech demo in minutes
40 352
📌 What I Learned in my First 18 Months as a Freelance Data Scientist
🗂 Category: DATA SCIENCE
🕒 Date: 2025-07-08 | ⏱️ Read time: 13 min read
The taxes and health insurance edition
40 352
📌 How to Fine-Tune Small Language Models to Think with Reinforcement Learning
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2025-07-08 | ⏱️ Read time: 23 min read
A visual tour and from-scratch guide to train GRPO reasoning models in PyTorch
