¡Ya disponible! Investigación de Telegram 2025 — los principales insights del año 
Machine Learning
Ir al canal en Telegram
Real Machine Learning — simple, practical, and built on experience. Learn step by step with clear explanations and working code. Admin: @HusseinSheikho || @Hussein_Sheikho
Mostrar más📈 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
Archivo de publicaciones
40 198
Want to see real profits from trading?
Join the winning side right now—today’s trades hit +190 pips in just 1 hour!
Ready to copy every move and secure results with a pro trader (7+ years, 85% winrate)?
Don’t miss your exclusive spot—profits like these are waiting right here!
Watch signals. Follow. Profit.
Get started now
#ad InsideAds
40 198
📌 Feature Extraction for Time Series, from Theory to Practice, with Python
🗂 Category: DATA SCIENCE
🕒 Date: 2024-08-24 | ⏱️ Read time: 12 min read
Here’s everything you need to know when extracting features for Time Series analysis
40 198
📌 Building a Command-Line Quiz Application in R
🗂 Category: DATA SCIENCE
🕒 Date: 2025-10-05 | ⏱️ Read time: 6 min read
Practice control flow, input handling, and functions in R by creating an interactive quiz game.
40 198
📌 Real-Time Intelligence in Microsoft Fabric: The Ultimate Guide
🗂 Category: DATA SCIENCE
🕒 Date: 2025-10-04 | ⏱️ Read time: 21 min read
Once upon a time, handling streaming data was considered an avant-garde approach. Since the introduction of relational…
40 198
📌 A Simple Framework for RAG Enhanced Visual Question Answering
🗂 Category: MACHINE LEARNING
🕒 Date: 2024-08-30 | ⏱️ Read time: 20 min read
Empowering Phi-3.5-vision with Wikipedia knowledge for augmented Visual Question Answering.
40 198
📌 Deploy Models with AWS SageMaker Endpoints – Step by Step Implementation
🗂 Category: DATA SCIENCE
🕒 Date: 2024-08-30 | ⏱️ Read time: 13 min read
A 4-step tutorial on creating a SageMaker endpoint and calling it.
40 198
📌 Advanced SQL for Data Science
🗂 Category: ANALYTICS
🕒 Date: 2024-08-24 | ⏱️ Read time: 15 min read
Expert techniques to elevate your analysis
40 198
📌 Automating ETL to SFTP Server Using Python and SQL
🗂 Category: DATA SCIENCE
🕒 Date: 2024-08-24 | ⏱️ Read time: 19 min read
Learn how to automate a daily data transfer process on Windows, from PostgreSQL database to…
40 198
📌 Solving The Travelling Salesman Problem Using A Genetic Algorithm
🗂 Category: MACHINE LEARNING
🕒 Date: 2024-08-25 | ⏱️ Read time: 16 min read
An Exploration with Python
40 198
📌 How to Network as a Data Scientist
🗂 Category: CAREER ADVICE
🕒 Date: 2024-08-26 | ⏱️ Read time: 8 min read
Times are changing – if you want to get into data science, you have to…
40 198
📌 Advanced Retrieval Techniques in a World of 2M Token Context Windows: Part 2 on Re-rankers
🗂 Category:
🕒 Date: 2024-08-26 | ⏱️ Read time: 8 min read
Exploring RAG techniques to improve retrieval accuracy
40 198
Repost from Machine Learning with Python
Big surprise in our channels on Discord
https://discord.gg/PGZku7DrSz
🔔 Subscribe now
40 198
📌 Tackle Complex LLM Decision-Making with Language Agent Tree Search (LATS) & GPT-4o
🗂 Category:
🕒 Date: 2024-08-26 | ⏱️ Read time: 11 min read
Enhancing LLM Decision-Making: Integrating Language Agent Tree Search with GPT-4o for Superior Problem Solving
40 198
📌 Introducing Markov Decision Processes, Setting up Gymnasium Environments and Solving them via Dynamic Programming Methods
🗂 Category: MACHINE LEARNING
🕒 Date: 2024-08-26 | ⏱️ Read time: 12 min read
Dissecting “Reinforcement Learning” by Richard S. Sutton with custom Python implementations, Episode II
40 198
📌 How Can We Continually Adapt Vision-Language Models?
🗂 Category:
🕒 Date: 2024-08-26 | ⏱️ Read time: 9 min read
Exploring Continual Learning Strategies for CLIP.
40 198
📌 How to Achieve Near Human-Level Performance in Chunking for RAGs
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2024-08-26 | ⏱️ Read time: 10 min read
The costly yet powerful splitting technique for superior RAG retrieval
40 198
📌 No Baseline? No Benchmarks? No Biggie! An Experimental Approach to Agile Chatbot Development
🗂 Category: INNOVATION
🕒 Date: 2024-08-26 | ⏱️ Read time: 15 min read
Lessons learned bringing LLM-based products to production
40 198
📌 AWS DeepRacer : A Practical Guide to Reducing The Sim2Real Gap – Part 2 || Training Guide
🗂 Category: ROBOTICS
🕒 Date: 2024-08-26 | ⏱️ Read time: 13 min read
This article describes how to train the AWS DeepRacer to drive safely around a track…
40 198
📌 Exploring the Strategic Capabilities of LLMs in a Risk Game Setting
🗂 Category: DATA SCIENCE
🕒 Date: 2024-08-27 | ⏱️ Read time: 39 min read
In a simulated Risk environment, large language models from Anthropic, OpenAI, and Meta showcase distinct…
40 198
📌 How to Color Polars DataFrame
🗂 Category: DATA SCIENCE
🕒 Date: 2024-08-27 | ⏱️ Read time: 6 min read
Continue working with the Polars library while being able to color and style the table
