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 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 40 202 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 40 202 suscriptores.

Según los últimos datos del 02 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 10, conservando un alto alcance.

Estado de verificación: No verificado
Tasa de interacción (ER): El promedio de interacción de la audiencia es 1.99%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 2.28% de reacciones respecto al total de suscriptores.
Alcance de las publicaciones: Cada publicación recibe en promedio 800 visualizaciones. En el primer día suele acumular 915 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 03 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.

40 202

Suscriptores

+1024 horas

+837 días

+34330 días

800

Visitas de la publicación

~ 91524 horas

~ 1 23548 horas

1.99%

Tasa de compromiso

~ 3

Mensajes por día

Ads index

beta

Archivo de publicaciones

40 196

📌 Python QuickStart for People Learning AI 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-08 | ⏱️ Read time: 15 min read A beginner-friendly guide

40 196

📌 Galactic Distances 🗂 Category: 🕒 Date: 2024-09-08 | ⏱️ Read time: 18 min read How Far Are We from Alien Civilizations? (Part 4 of the Drake Equation Series)

40 196

📌 Are We Alone? 🗂 Category: SCIENCE AND TECHNOLOGY 🕒 Date: 2024-09-08 | ⏱️ Read time: 12 min read The Real Odds of Encountering Alien Life (Part 5 of the Drake Equation Series)

40 196

📌 Automate Video Chaptering with LLMs and TF-IDF 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2024-09-09 | ⏱️ Read time: 14 min read Transform raw transcripts into well-structured documents

40 196

📌 Benchmarking Hallucination Detection Methods in RAG 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2024-09-09 | ⏱️ Read time: 11 min read Evaluating methods to enhance reliability in LLM-generated responses.

40 196

📌 Does Semi-Supervised Learning Help to Train Better Models? 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-09-09 | ⏱️ Read time: 8 min read Evaluating how semi-supervised learning can leverage unlabeled data

40 196

📌 Is Multi-Collinearity Destroying Your Causal Inferences In Marketing Mix Modelling? 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-10 | ⏱️ Read time: 18 min read Causal AI, exploring the integration of causal reasoning into machine learning

40 196

📌 MobileNetV2 Paper Walkthrough: The Smarter Tiny Giant 🗂 Category: DEEP LEARNING 🕒 Date: 2025-10-03 | ⏱️ Read time: 28 min read Understanding and implementing MobileNetV2 with PyTorch — the next generation of MobileNetV1

40 196

📌 Build a Data Dashboard Using HTML, CSS, and JavaScript 🗂 Category: PROGRAMMING 🕒 Date: 2025-10-03 | ⏱️ Read time: 14 min read A framework-free guide for Python programmers

40 196

📌 Introducing NumPy, Part 3: Manipulating Arrays 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-15 | ⏱️ Read time: 7 min read Shaping, transposing, joining, and splitting arrays

40 196

soon

40 196

I used to think trading was all about luck… until I saw what happens when you apply actual discipline. My P&L chart never looked the same again. If you want to discover the real secrets no one tells you — check here: see for yourself #ad InsideAds

40 196

🌍 Work Abroad for Skilled Construction Workers! Salary: $450–700 per month ✅ Free accommodation ✅ Free meals ✅ Official 1-year work contract 📌 Open positions: • Tilers • Painters / Plasterers • Bricklayers • Facade Workers • Plumbers • Electricians 💡 Experience required! 📲 Apply now #ad InsideAds

40 196

Want to grab insane deals before everyone else? Why pay more for your everyday shopping when you can score exclusive discounts from Amazon, Flipkart, Zomato & more? Stop missing out on loot deals—discover today’s best offers right here. Join now and save big on every purchase! #ad InsideAds

40 196

Nobody believed I could boost my speed with just one hidden tech trick—until I did. Now, my Android feels like new and my iPhone unlocks features I never expected. The secret? Find out before everyone else — only revealed here! #ad InsideAds

40 196

No one tells you this, but sometimes you need to disappear for 24 hours to finally find yourself. Could you survive it? Everyone talks about problems and pain… but what if you just walked away—for a day? Find out the answer here — dare to try? #ad InsideAds

40 196

📌 Key Insights for Teaching AI Agents to Remember 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-09-10 | ⏱️ Read time: 20 min read Recommendations on building robust memory capabilities based on experimentation with Autogen’s “Teachable Agents”

40 196

📌 The Art of Asking Questions for Engineers 🗂 Category: BUSINESS 🕒 Date: 2024-09-10 | ⏱️ Read time: 6 min read A Guideline for Asking Impactful Questions

40 196

📌 Practical Introduction to Polars 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-10 | ⏱️ Read time: 13 min read Hands-on guide with side-by-side examples in Pandas

40 196

📌 Logistic Regression, Explained: A Visual Guide with Code Examples for Beginners 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-10 | ⏱️ Read time: 9 min read Finding the perfect weights to fit the data in