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 Siria227 Tecnologías y Aplicaciones3 347...

📈 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 40 273 suscriptores, ocupando la posición 3 347 en la categoría Tecnologías y Aplicaciones y el puesto 227 en la región Siria.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 40 273 suscriptores.

Según los últimos datos del 07 julio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 352, y en las últimas 24 horas de 21, conservando un alto alcance.

Estado de verificación: No verificado
Tasa de interacción (ER): El promedio de interacción de la audiencia es 2.23%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 1.88% de reacciones respecto al total de suscriptores.
Alcance de las publicaciones: Cada publicación recibe en promedio 896 visualizaciones. En el primer día suele acumular 758 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 08 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.

40 273

Suscriptores

+2124 horas

+957 días

+35230 días

896

Visitas de la publicación

~ 75824 horas

~ 1 03748 horas

2.23%

Tasa de compromiso

~ 2

Mensajes por día

Ads index

beta

Archivo de publicaciones

40 273

📌 LightGBM: The Fastest Option of Gradient Boosting 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-12 | ⏱️ Read time: 7 min read Learn how to implement a fast and effective Gradient Boosting model using Python

40 273

📌 What Would a Stoic Do? – An AI-Based Decision-Making Model 🗂 Category: DEEP LEARNING 🕒 Date: 2025-01-12 | ⏱️ Read time: 14 min read Using AI to build Marcus Aurelius’ reincarnation

40 273

📌 What is MicroPython? Do I Need to Know it as a Data Scientist? 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-12 | ⏱️ Read time: 6 min read In this year’s edition of the Stack Overflow survey, MicroPython is with 1.6% in the…

40 273

📌 Using Constraint Programming to Solve Math Theorems 🗂 Category: MATHEMATICS 🕒 Date: 2025-01-12 | ⏱️ Read time: 6 min read Case study: the quasigroups existence problem

40 273

📌 Speed up Pandas code with Numpy 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-13 | ⏱️ Read time: 13 min read But I can’t vectorise this, can I? …. yes, you probably can!

40 273

📌 How to Build a Knowledge Graph in Minutes (And Make It Enterprise-Ready) 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-01-13 | ⏱️ Read time: 10 min read I tried and failed creating one-but it was when LLMs were not a thing!

40 273

📌 Understanding the Evolution of ChatGPT: Part 2 – GPT-2 and GPT-3 🗂 Category: DEEP LEARNING 🕒 Date: 2025-01-13 | ⏱️ Read time: 10 min read Scaling from 117M to 175B: Insights into GPT-2 and GPT-3.

40 273

📌 Going Beyond Bias-Variance Tradeoff Into Double Descent Phenomenon 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-01-13 | ⏱️ Read time: 22 min read It’s not how many times you get knocked down that count, it’s how many times…

40 273

📌 A Multimodal AI Assistant: Combining Local and Cloud Models 🗂 Category: 🕒 Date: 2025-01-13 | ⏱️ Read time: 22 min read Use LangGraph, mlx and Florence2 to build an agent that answers complex image questions, with…

40 273

📌 Contextual Topic Modelling in Chinese Corpora with KeyNMF 🗂 Category: NATURAL LANGUAGE PROCESSING 🕒 Date: 2025-01-13 | ⏱️ Read time: 8 min read A comprehensive guide on getting the most out of your Chinese topic models, from preprocessing…

40 273

📌 The AI (R)Evolution, Looking From 2024 Into the Immediate Future 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-01-13 | ⏱️ Read time: 17 min read Witnessing rapid innovation, fierce competition, and transformative tools for life, work, and human development

40 273

📌 Understanding Flash Attention: Writing the Algorithm from Scratch in Triton 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-01-15 | ⏱️ Read time: 7 min read Find out how Flash Attention works. Afterward, we’ll refine our understanding by writing a GPU…

40 273

📌 Qubits Explained: Everything You Need to Know 🗂 Category: PHYSICS 🕒 Date: 2025-01-15 | ⏱️ Read time: 11 min read A deep dive into the building block of quantum computers.

40 273

📌 Water Cooler Small Talk, Ep 6: Benford’s Law 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-15 | ⏱️ Read time: 10 min read A look into the strange first digit distribution of naturally occurring datasets

40 273

📌 Developing an AI-Powered Smart Guide for Business Planning & Entrepreneurship 🗂 Category: ENTREPRENEURSHIP 🕒 Date: 2025-01-16 | ⏱️ Read time: 35 min read A LangGraph-based advanced agentic RAG with standard business guides, AI-based web search, trusted sources, and…

40 273

📌 The Death of Human-Written Code Tutorials in the ChatGPT Era … Or Not? 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-01-16 | ⏱️ Read time: 11 min read An argument in favor of human-written coding tutorials in the new age of LLMs.

40 273

📌 Why Data Scientists Can’t Afford Too Many Dimensions and What They Can Do About It 🗂 Category: DEEP LEARNING 🕒 Date: 2025-01-16 | ⏱️ Read time: 17 min read An in-depth article about dimensionality reduction and its most popular methods

40 273

📌 Charts, Dashboards, Maps, and More: Data Visualization in the Spotlight 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-16 | ⏱️ Read time: 4 min read Our weekly selection of must-read Editors’ Picks and original features

40 273

📌 The Large Language Model Course 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-01-16 | ⏱️ Read time: 21 min read How to become an LLM Scientist or Engineer from scratch

40 273

📌 No Peeking Ahead: Time-Aware Graph Fraud Detection 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-09-14 | ⏱️ Read time: 15 min read How to implement leak-free graph fraud detection