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 365...

📈 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 40 193 suscriptores, ocupando la posición 3 365 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 40 193 suscriptores.

Según los últimos datos del 01 julio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 355, 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 2.04%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 2.12% de reacciones respecto al total de suscriptores.
Alcance de las publicaciones: Cada publicación recibe en promedio 818 visualizaciones. En el primer día suele acumular 851 visualizaciones.
Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 2.
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 02 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.

40 193

Suscriptores

+2124 horas

+857 días

+35530 días

818

Visitas de la publicación

~ 85124 horas

~ 1 13948 horas

2.04%

Tasa de compromiso

~ 3

Mensajes por día

Ads index

beta

Archivo de publicaciones

40 197

📌 Stars of the 2024 Paris Olympics 🗂 Category: DATA SCIENCE 🕒 Date: 2024-08-12 | ⏱️ Read time: 8 min read How to use Wikipedia data to visualize the popularity of top athletes and Olympic sports

40 197

📌 What to Study if you Want to Master LLMs 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-08-12 | ⏱️ Read time: 6 min read What foundational concepts should you study if you want to understand Large Language Models?

40 197

📌 Unleashing the Power of Triton: Mastering GPU Kernel Optimization in Python 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-08-13 | ⏱️ Read time: 11 min read Accelerating AI/ML Model Training with Custom Operators – Part 2

40 197

📌 Avoid Building a Data Platform in 2024 🗂 Category: DATA ENGINEERING 🕒 Date: 2024-08-13 | ⏱️ Read time: 16 min read Why articles about ‘Building a Data Platform’ are mostly misleading

40 197

📌 Four Visualisation Libraries That Seamlessly Integrate With Pandas Dataframe 🗂 Category: DATA SCIENCE 🕒 Date: 2024-08-13 | ⏱️ Read time: 5 min read Make use of Pandas plotting backend for the easiest plotting

40 197

📌 Paper Walkthrough: Vision Transformer (ViT) 🗂 Category: DEEP LEARNING 🕒 Date: 2024-08-13 | ⏱️ Read time: 20 min read Exploring Vision Transformer (ViT) through PyTorch Implementation from Scratch.

40 197

📌 From Data-Informed to Data-Driven Decisions: An Introduction to Tradespace Exploration 🗂 Category: DATA SCIENCE 🕒 Date: 2024-08-13 | ⏱️ Read time: 23 min read Going beyond Exploratory Data Analysis to find the needle in the haystack

40 197

📌 From insights to impact: leveraging data science to maximize customer value 🗂 Category: DATA SCIENCE 🕒 Date: 2024-08-13 | ⏱️ Read time: 11 min read Uplift modeling: how causal machine learning transforms customer relationships and revenue

40 197

📌 UniFliXsg: AI-Powered Undergraduate Program Recommendations for Singapore Universities 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2024-08-14 | ⏱️ Read time: 8 min read How could AI suggest your majors?

40 197

📌 How to Easily Validate Your Data with Pandera 🗂 Category: DATA ENGINEERING 🕒 Date: 2024-08-14 | ⏱️ Read time: 6 min read Learn how to build a simple data model that validates your data through type hints

40 197

📌 How to Perform Effective Agentic Context Engineering 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-10-07 | ⏱️ Read time: 14 min read Learn how to optimize the context of your agents, for powerful agentic performance

40 197

📌 This Puzzle Shows Just How Far LLMs Have Progressed in a Little Over a Year 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-10-07 | ⏱️ Read time: 10 min read What took GPT-4o 2 hours to solve, Sonnet 4.5 does in 5 seconds

40 197

📌 Bad Assumptions – The Downfall of Even Experienced Data Scientists 🗂 Category: DATA SCIENCE 🕒 Date: 2024-08-16 | ⏱️ Read time: 11 min read Data can be deceptive, so be on your toes!

40 197

📌 Squashing the Average: A Dive into Penalized Quantile Regression for Python 🗂 Category: DATA SCIENCE 🕒 Date: 2024-08-16 | ⏱️ Read time: 5 min read How to build penalized quantile regression models (with code!)

40 197

📌 Mastering Data Streaming in Python 🗂 Category: DATA ENGINEERING 🕒 Date: 2024-08-16 | ⏱️ Read time: 13 min read Best Practices for Real-Time Analytics

40 197

📌 The Missing Piece: Symbolic AI’s Role in Solving Generative AI Hurdles 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-08-16 | ⏱️ Read time: 9 min read Symbolic reasoning may still be alive…

40 197

📌 How to Build Helpful RAGs with Query Routing. 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-08-16 | ⏱️ Read time: 11 min read An LLM can handle general routing. Semantic search can handle private data better. Which one…

40 197

📌 Writing a Good Job Description for Data Science/Machine Learning 🗂 Category: DATA SCIENCE 🕒 Date: 2024-08-16 | ⏱️ Read time: 16 min read Things to do and things to avoid in order to find the right candidates for…

40 197

📌 Adapting the Azure Landing Zone for a Data Platform in the Cloud 🗂 Category: DATA ENGINEERING 🕒 Date: 2024-08-16 | ⏱️ Read time: 8 min read Working with sensitive data or within a highly regulated environment requires safe and secure cloud…

40 197

📌 Exploring cancer types with neo4j 🗂 Category: 🕒 Date: 2024-08-17 | ⏱️ Read time: 7 min read How to identify and visualise clusters in knowledge graphs