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

Red:Machine Learning with Python Siria225 Tecnologías y Aplicaciones3 327...

📈 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 40 373 suscriptores, ocupando la posición 3 327 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 40 373 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.

40 373

Suscriptores

+2424 horas

+1257 días

+39930 días

979

Visitas de la publicación

~ 70324 horas

~ 95648 horas

2.42%

Tasa de compromiso

~ 2

Mensajes por día

Ads index

beta

Archivo de publicaciones

40 373

📌 Water Cooler Small Talk, Ep 8: Should ChatGPT Be Blocked at Work? 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-08-19 | ⏱️ Read time: 9 min read Water cooler small talk is a special kind of small talk, typically observed in office…

40 373

📌 Advanced Prompt Engineering for Data Science Projects 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-08-19 | ⏱️ Read time: 11 min read Part 2: Prompt Engineering for Features, Modeling, and Evaluation

40 373

📌 Capturing and Deploying PyTorch Models with torch.export 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-08-19 | ⏱️ Read time: 18 min read A demonstration of PyTorch’s exciting new export feature on a HuggingFace model

40 373

📌 Help Your Model Learn the True Signal 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-08-19 | ⏱️ Read time: 15 min read An algorithm-agnostic approach inspired by Cook’s distance

40 373

📌 Mastering NLP with spaCy – Part 3 🗂 Category: DATA SCIENCE 🕒 Date: 2025-08-19 | ⏱️ Read time: 7 min read Rule-based matching for information extraction

40 373

📌 Building a Modern Dashboard with Python and Tkinter 🗂 Category: PROGRAMMING 🕒 Date: 2025-08-19 | ⏱️ Read time: 20 min read Create polished GUIs and data dashboards with this versatile library

40 373

📌 The Upstream Mentality: Why AI/ML Engineers Must Think Beyond the Model 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-08-20 | ⏱️ Read time: 13 min read Your 3am production alert isn’t a model problem—it’s an upstream crisis in disguise

40 373

📌 “Where’s Marta?”: How We Removed Uncertainty From AI Reasoning 🗂 Category: LLM APPLICATIONS 🕒 Date: 2025-08-20 | ⏱️ Read time: 12 min read A primer on overcoming LLM limitations with formal verification.

40 373

📌 Smarter Model Tuning: An AI Agent with LangGraph + Streamlit That Boosts ML Performance 🗂 Category: AGENTIC AI 🕒 Date: 2025-08-20 | ⏱️ Read time: 12 min read Automating model tuning in Python with Gemini, LangGraph, and Streamlit for regression and classification improvements

40 373

📌 AI Agents for Supply Chain Optimisation: Production Planning 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-08-20 | ⏱️ Read time: 9 min read How to integrate an optimisation algorithm in a FastAPI microservice and connect it with an…

40 373

📌 Everything You Need to Know About the New Power BI Storage Mode 🗂 Category: DATA SCIENCE 🕒 Date: 2025-08-20 | ⏱️ Read time: 18 min read 50 Shades of Direct Lake

40 373

📌 From LangExtract to LangGraph: LLM Optimization, Explained 🗂 Category: THE VARIABLE 🕒 Date: 2025-08-21 | ⏱️ Read time: 3 min read Cutting-edge workflows, new libraries, and more

40 373

📌 Designing Trustworthy ML Models: Alan & Aida Discover Monotonicity in Machine Learning 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-08-21 | ⏱️ Read time: 5 min read Accuracy alone doesn’t guarantee trustworthiness. Monotonicity ensures predictions align with common sense and business rules.

40 373

📌 Where Hurricanes Hit Hardest: A County-Level Analysis with Python 🗂 Category: DATA SCIENCE 🕒 Date: 2025-08-21 | ⏱️ Read time: 15 min read Use Python, GeoPandas, Tropycal, and Plotly Express to map the number of hurricane encounters per…

40 373

📌 What If I Had AI in 2020: Rent The Runway Dynamic Pricing Model 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-08-21 | ⏱️ Read time: 7 min read Ever wondered how different things might have been if ChatGPT had existed at the start…

40 373

📌 How to Perform Comprehensive Large Scale LLM Validation 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-08-21 | ⏱️ Read time: 9 min read Learn how to validate large scale LLM applications

40 373

📌 Cracking the Density Code: Why MAF Flows Where KDE Stalls 🗂 Category: STATISTICS 🕒 Date: 2025-08-22 | ⏱️ Read time: 12 min read Learn why autoregressive flows are the superior density estimation tool for high-dimensional data

40 373

📌 Three Essential Hyperparameter Tuning Techniques for Better Machine Learning Models 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-08-22 | ⏱️ Read time: 7 min read Learn how to optimize your ML models for better results

40 373

📌 Is Google’s Reveal of Gemini’s Impact Progress or Greenwashing? 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-08-22 | ⏱️ Read time: 6 min read On the surface, Google’s numbers sound reassuringly small, but the more closely you look, the…

40 373

📌 Systematic LLM Prompt Engineering Using DSPy Optimization 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-08-25 | ⏱️ Read time: 27 min read This article is a journey into the fascinating and rapidly evolving science of LLM prompt…