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

Red:Machine Learning with Python Siria227 Tecnologías y Aplicaciones3 336...

📈 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 40 237 suscriptores, ocupando la posición 3 336 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 40 237 suscriptores.

Según los últimos datos del 04 julio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 343, y en las últimas 24 horas de 16, conservando un alto alcance.

Estado de verificación: No verificado
Tasa de interacción (ER): El promedio de interacción de la audiencia es 1.92%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 1.89% de reacciones respecto al total de suscriptores.
Alcance de las publicaciones: Cada publicación recibe en promedio 771 visualizaciones. En el primer día suele acumular 761 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 05 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.

40 237

Suscriptores

+1624 horas

+837 días

+34330 días

771

Visitas de la publicación

~ 76124 horas

~ 1 00448 horas

1.92%

Tasa de compromiso

~ 3

Mensajes por día

Ads index

beta

Archivo de publicaciones

40 239

Ever wished you could dive into epic Cdramas with perfect English subtitles, just as they drop in China? Discover the hottest new episodes, exclusive reactions, and real Cdrama fans at THE JOURNEY OF LEGEND | ENG SUBTITLES 🎞️. Don’t miss out on what everyone’s talking about— start your journey here and enjoy every scene in English! #ad InsideAds .

40 239

📌 How to Create a Network Chart in Tableau 🗂 Category: DATA VISUALIZATION 🕒 Date: 2024-11-05 | ⏱️ Read time: 8 min read A Step-by-Step Guide to Network Visualization in Tableau

40 239

📌 I Tested Frontline M-LLMs on Their Chart Interpretation Skills 🗂 Category: DATA VISUALIZATION 🕒 Date: 2024-11-05 | ⏱️ Read time: 35 min read Can multimodal LLMs infer basic charts accurately?

40 239

📌 Building a Convolutional Neural Network (CNNs) from Scratch 🗂 Category: 🕒 Date: 2024-11-05 | ⏱️ Read time: 15 min read Line-by-Line, Let’s Build a ResNet Classifier on the MNIST-Fashion Dataset

40 239

📌 Log Breadcrumbs: only show Logs leading up to an Error 🗂 Category: CODING 🕒 Date: 2024-11-05 | ⏱️ Read time: 5 min read Hot to log Breadcrumbs using Python’s built-int logging package

40 239

Join today and get 150% bonus! We will turn £100->£250 #ad InsideAds

40 239

📌 Least Squares Regression, Explained: A Visual Guide with Code Examples for Beginners 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-05 | ⏱️ Read time: 11 min read Gliding through points to minimize squares

40 239

📌 Forecasting the Future: How Can We Predict Tomorrow’s Demand Using Yesterday’s Insights? 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-05 | ⏱️ Read time: 13 min read Demand planners and other company stakeholders use forecasts to anticipate future needs and adjust supply…

40 239

📌 User Studies for Enterprise Tools: HCI in the Industry 🗂 Category: 🕒 Date: 2024-11-06 | ⏱️ Read time: 8 min read Insights as an HCI research scientist in an industry catered to building tooling for enterprises

40 239

📌 Easy Hurricane Tracking with Tropycal 🗂 Category: DATA VISUALIZATION 🕒 Date: 2024-11-06 | ⏱️ Read time: 8 min read A great Python package for storm analysis

40 239

📌 Predict Housing Price using Linear Regression in Python 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-06 | ⏱️ Read time: 16 min read A walk-through of cost computation, gradient descent, and regularization using Boston Housing dataset

40 239

📌 The Theory of Universal Computation: Bayesian Optimality, Solomonoff Induction & AIXI 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-09-22 | ⏱️ Read time: 25 min read Is it possible to build a perfect induction machine?

40 239

📌 Data-Driven Journey Optimization: Using Deep Learning to Design Customer Journeys 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-06 | ⏱️ Read time: 8 min read Can ML models learn to construct optimal customer journeys?

40 239

📌 Kickstart Your Data Science Journey – A Guide for Aspiring Data Scientists 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-11-06 | ⏱️ Read time: 19 min read Key Technical Skills You Need to Kick-start Your Career in Data Science

40 239

📌 An Introduction to VLMs: The Future of Computer Vision Models 🗂 Category: 🕒 Date: 2024-11-06 | ⏱️ Read time: 13 min read Building a 28% more accurate multimodal image search engine with VLMs.

40 239

✨ Setting Up LLaVA/BakLLaVA with vLLM: Backend and API Integration ✨ 📖 Table of Contents Setting Up LLaVA/BakLLaVA with vLLM: Backend and API Integration Why vLLM for Multimodal Inference The Challenges of Serving Image + Text Prompts at Scale Why Vanilla Approaches Fall Short How vLLM Solves Real-World Production Workloads Configuring Your…... 🏷️ #DeepLearning #ModelDeployment #Tutorial #vLLM

40 239

📌 MIT Battlecode Reflections: A First-Time Finalist’s Takeaways 🗂 Category: GAMING 🕒 Date: 2024-11-07 | ⏱️ Read time: 18 min read Key Takeaways from a First-Time Contestant

40 239

📌 Adopting Spark Connect 🗂 Category: DATA ENGINEERING 🕒 Date: 2024-11-07 | ⏱️ Read time: 19 min read How we use a shared Spark server to make our Spark infrastructure more efficient

40 239

📌 Tracing the Transformer in Diagrams 🗂 Category: DEEP LEARNING 🕒 Date: 2024-11-07 | ⏱️ Read time: 17 min read What exactly do you put in, what exactly do you get out, and how do…

40 239

📌 Random Forest, Explained: A Visual Guide with Code Examples 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-07 | ⏱️ Read time: 15 min read Making tree-mendous predictions with random trees