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 Siria225 Tecnologías y Aplicaciones3 329...

📈 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 40 346 suscriptores, ocupando la posición 3 329 en la categoría Tecnologías y Aplicaciones y el puesto 225 en la región Siria.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 40 346 suscriptores.

Según los últimos datos del 11 julio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 393, y en las últimas 24 horas de 17, conservando un alto alcance.

Estado de verificación: No verificado
Tasa de interacción (ER): El promedio de interacción de la audiencia es 2.29%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 1.74% de reacciones respecto al total de suscriptores.
Alcance de las publicaciones: Cada publicación recibe en promedio 924 visualizaciones. En el primer día suele acumular 702 visualizaciones.
Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 4.
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 12 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.

40 346

Suscriptores

+1724 horas

+1237 días

+39330 días

924

Visitas de la publicación

~ 70224 horas

~ 1 07048 horas

2.29%

Tasa de compromiso

~ 2

Mensajes por día

Ads index

beta

Archivo de publicaciones

40 346

📌 Data Drift Is Not the Actual Problem: Your Monitoring Strategy Is 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-06-03 | ⏱️ Read time: 11 min read Monitoring is easy; what to monitor is not. In the field of machine learning, data…

40 346

📌 Building a Modern Dashboard with Python and Gradio 🗂 Category: DATA SCIENCE 🕒 Date: 2025-06-04 | ⏱️ Read time: 13 min read Data insights made simple

40 346

📌 Exploring Merit Order and Marginal Abatement Cost Curve in Python 🗂 Category: DATA SCIENCE 🕒 Date: 2025-09-09 | ⏱️ Read time: 11 min read To achieve the global temperature limit goals of 1.5°C by the end of the century…

40 346

📌 LangGraph 201: Adding Human Oversight to Your Deep Research Agent 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-09-09 | ⏱️ Read time: 23 min read Losing control of your AI agent in the middle of the workflow is a common…

40 346

📌 The Hungarian Algorithm and Its Applications in Computer Vision 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-09-09 | ⏱️ Read time: 9 min read Introduction Multi-object tracking (MOT) is a task in which an algorithm must detect and track…

40 346

📌 How to Build Effective AI Agents to Process Millions of Requests 🗂 Category: AGENTIC AI 🕒 Date: 2025-09-09 | ⏱️ Read time: 9 min read Learn how to build production ready systems using AI agents

40 346

📌 LangChain for EDA: Build a CSV Sanity-Check Agent in Python 🗂 Category: AGENTIC AI 🕒 Date: 2025-09-09 | ⏱️ Read time: 19 min read A practical LangChain tutorial for data scientists to inspect CSVs

40 346

Ever wondered how top traders catch triple-digit profits while everyone else follows the hype? Unlock elite crypto signals with Moon Mission — real entries, clear exits, strict risk management. The next trade could be your best yet. Tap here, join the mission 🚀, and see why precision matters. #إعلان InsideAds

40 346

📌 The Journey from Jupyter to Programmer: A Quick-Start Guide 🗂 Category: DATA SCIENCE 🕒 Date: 2025-06-04 | ⏱️ Read time: 17 min read Explore the real benefits of ditching the notebook

40 346

📌 Get Ready for Your Next Career Move 🗂 Category: THE VARIABLE 🕒 Date: 2025-06-05 | ⏱️ Read time: 3 min read Are you planning to switch roles in the near future? On the lookout for your…

40 346

📌 5 Crucial Tweaks That Will Make Your Charts Accessible to People with Visual Impairments 🗂 Category: DATA VISUALIZATION 🕒 Date: 2025-06-06 | ⏱️ Read time: 13 min read More than 350 million people are colorblind – Make sure they can read your visualizations.

40 346

📌 Why AI Projects Fail 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-06-06 | ⏱️ Read time: 7 min read No one agrees on the exact number, but estimates say anywhere from 50% to 80%…

40 346

📌 The Role of Luck in Sports: Can We Measure It? 🗂 Category: DATA SCIENCE 🕒 Date: 2025-06-06 | ⏱️ Read time: 8 min read From last-minute goals to coin tosses: How much does randomness influence the outcomes of games?

40 346

📌 How I Automated My Machine Learning Workflow with Just 10 Lines of Python 🗂 Category: DATA SCIENCE 🕒 Date: 2025-06-06 | ⏱️ Read time: 4 min read Use LazyPredict and PyCaret to skip the grunt work and jump straight to performance.

40 346

📌 Not Everything Needs Automation: 5 Practical AI Agents That Deliver Enterprise Value 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-06-06 | ⏱️ Read time: 11 min read What actually works with AI agents inside enterprise organizations?

40 346

📌 Trying to Stay Sane in the Age of AI 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-06-09 | ⏱️ Read time: 4 min read A machine learning engineer’s quiet way of not losing her mind

40 346

📌 How to Transition From Data Analyst to Data Scientist 🗂 Category: DATA SCIENCE 🕒 Date: 2025-06-09 | ⏱️ Read time: 8 min read Playbook on how data analysts can become data scientists

40 346

📌 A Bird’s-Eye View of Linear Algebra: Measure of a Map — Determinants 🗂 Category: MATH 🕒 Date: 2025-06-10 | ⏱️ Read time: 19 min read We roll up our sleeves and start to deal with matrices

40 346

📌 Exploratory Data Analysis: Gamma Spectroscopy in Python 🗂 Category: DATA SCIENCE 🕒 Date: 2025-06-10 | ⏱️ Read time: 17 min read Let’s observe the matter on the atomic level

40 346

📌 Mastering SQL Window Functions 🗂 Category: DATA SCIENCE 🕒 Date: 2025-06-10 | ⏱️ Read time: 6 min read Understand how to use Window Functions to perform calculations without losing details