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 331...

📈 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

948

Visitas de la publicación

~ 78624 horas

~ 1 06648 horas

2.35%

Tasa de compromiso

~ 2

Mensajes por día

Ads index

beta

Archivo de publicaciones

40 323

📌 Create Your Supply Chain Analytics Portfolio to Land Your Dream Job 🗂 Category: DATA SCIENCE 🕒 Date: 2025-03-31 | ⏱️ Read time: 9 min read A guide for students and professionals to build real-world projects and showcase their skills using…

40 323

📌 A Simple Implementation of the Attention Mechanism from Scratch 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-03-31 | ⏱️ Read time: 10 min read How attention helped models like RNNs mitigate the vanishing gradient problem and capture long-range dependencies…

40 323

📌 Graph Neural Networks Part 3: How GraphSAGE Handles Changing Graph Structure 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-04-01 | ⏱️ Read time: 9 min read And how you can use it for large graphs

40 323

📌 Agentic AI: Single vs Multi-Agent Systems 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-04-01 | ⏱️ Read time: 14 min read Demonstrated by building a tech news agent in LangGraph

40 323

📌 AI in Social Research and Polling 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-04-01 | ⏱️ Read time: 13 min read What do we do when nobody answers the phone?

40 323

📌 The Case for Centralized AI Model Inference Serving 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-04-01 | ⏱️ Read time: 11 min read Optimizing highly parallel AI algorithm execution

40 323

📌 PyScript vs. JavaScript: A Battle of Web Titans 🗂 Category: PROGRAMMING 🕒 Date: 2025-04-02 | ⏱️ Read time: 5 min read Can Python really replace JavaScript for web development?

40 323

📌 The Art of Noise | Diffusion Model 🗂 Category: DEEP LEARNING 🕒 Date: 2025-04-02 | ⏱️ Read time: 36 min read Understanding and implementing a diffusion model from scratch with PyTorch

40 323

📌 Agentic GraphRAG for Commercial Contracts 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-04-02 | ⏱️ Read time: 26 min read Structuring legal information as a knowledge graph to increase the answer accuracy using a LangGraph…

40 323

📌 Kernel Case Study: Flash Attention 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-04-03 | ⏱️ Read time: 16 min read Understanding all versions of flash attention through a triton implementation

40 323

📌 Linear Programming: Managing Multiple Targets with Goal Programming 🗂 Category: DATA SCIENCE 🕒 Date: 2025-04-03 | ⏱️ Read time: 12 min read Part 6: Balancing multiple objectives using the weights and preemptive goal programming approaches

40 323

📌 Are We Watching More Ads Than Content? Analyzing YouTube Sponsor Data 🗂 Category: DATA SCIENCE 🕒 Date: 2025-04-03 | ⏱️ Read time: 21 min read Exploring if sponsor segments are getting longer by the year

40 323

📌 Creating an AI Agent to Write Blog Posts with CrewAI 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-04-04 | ⏱️ Read time: 12 min read How to assemble a crew of AI agents with CrewAI and Python

40 323

📌 On-Premise Computing, Data Career Switches, AI File Readers, and Other March Must-Reads 🗂 Category: THE VARIABLE 🕒 Date: 2025-04-04 | ⏱️ Read time: 3 min read A selection of our most-read and -shared articles of the past month.

40 323

📌 How I Would Learn To Code (If I Could Start Over) 🗂 Category: PROGRAMMING 🕒 Date: 2025-04-04 | ⏱️ Read time: 10 min read How to learn to code in 2025

40 323

📌 Let’s Call a Spade a Spade: RDF and LPG — Cousins Who Should Learn to Live Together 🗂 Category: DATA SCIENCE 🕒 Date: 2025-04-07 | ⏱️ Read time: 20 min read An objective comparison of the RDF and LPG data models

40 323

📌 How to Optimize your Python Program for Slowness 🗂 Category: PROGRAMMING 🕒 Date: 2025-04-07 | ⏱️ Read time: 20 min read Write a short program that finishes after the universe dies

40 323

Nobody told me ETF investing could be this easy—until I saw the real power of sector rotation. I ignored it for years… and lost out on simple, steady income that almost runs on autopilot. You want to see the setup? It’s right here. #إعلان InsideAds

40 323

📌 Avoiding Costly Mistakes with Uncertainty Quantification for Algorithmic Home Valuations 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-04-07 | ⏱️ Read time: 10 min read The simple tricks for using AVMU, or Automated Valuation Model Uncertainty, to make your home…

40 323

📌 Circuit Tracing: A Step Closer to Understanding Large Language Models 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-04-08 | ⏱️ Read time: 7 min read Reverse-engineering large languages models’ computation circuit to understand their decision-making processes