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 332...

📈 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 40 323 suscriptores, ocupando la posición 3 332 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 40 323 suscriptores.

Según los últimos datos del 09 julio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 378, y en las últimas 24 horas de 30, conservando un alto alcance.

Estado de verificación: No verificado
Tasa de interacción (ER): El promedio de interacción de la audiencia es 2.23%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 1.95% de reacciones respecto al total de suscriptores.
Alcance de las publicaciones: Cada publicación recibe en promedio 897 visualizaciones. En el primer día suele acumular 788 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 10 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.

40 323

Suscriptores

+3024 horas

+1067 días

+37830 días

897

Visitas de la publicación

~ 78824 horas

~ 1 02448 horas

2.23%

Tasa de compromiso

~ 2

Mensajes por día

Ads index

beta

Archivo de publicaciones

40 332

📌 Google’s New AI System Outperforms Physicians in Complex Diagnoses 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-04-17 | ⏱️ Read time: 13 min read Published in Nature, Google’s new paper advances the future of AI-powered medicine: more automated thus…

40 332

📌 On Data Problems, and How to Solve (or Prevent) Them 🗂 Category: THE VARIABLE 🕒 Date: 2025-04-17 | ⏱️ Read time: 3 min read This week, we focus on the workflows that can help keep your data focused.

40 332

📌 When Physics Meets Finance: Using AI to Solve Black-Scholes 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-04-17 | ⏱️ Read time: 13 min read Here’s how to use Physics-Informed Neural Networks to solve Financial Models, with Python.

40 332

📌 Load-Testing LLMs Using LLMPerf 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-04-18 | ⏱️ Read time: 8 min read Benchmark Claude 3 Sonnet on Amazon Bedrock

40 332

📌 How to Use Gyroscope in Presentations, or Why Take a JoyCon to DPG2025 🗂 Category: PROGRAMMING 🕒 Date: 2025-04-21 | ⏱️ Read time: 19 min read This article explores how browser-based computational notebooks —particularly the WLJS Notebook —can transform static slides into dynamic,…

40 332

📌 How to Write Queries for Tabular Models with DAX 🗂 Category: DATA ANALYSIS 🕒 Date: 2025-04-21 | ⏱️ Read time: 9 min read Introduction EVALUATE is the statement to query tabular models. Unfortunately, knowing SQL or any other…

40 332

I WRITE ABOUT BUSINESS & PERSONAL GROWTH 📈 https://inside.ad/+WkuWPT #إعلان InsideAds

40 332

📌 Beyond the Code: Unconventional Lessons from Empathetic Interviewing 🗂 Category: CAREER ADVICE 🕒 Date: 2025-04-21 | ⏱️ Read time: 12 min read What LLM Prompts Reveal About Candidates

40 332

📌 Retrieval Augmented Generation (RAG) — An Introduction 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-04-21 | ⏱️ Read time: 7 min read Given the critical need to keep models updated in a time and cost effective way,…

40 332

📌 Beginner’s Guide to Creating a S3 Storage on AWS 🗂 Category: DATA ENGINEERING 🕒 Date: 2025-04-21 | ⏱️ Read time: 4 min read How to quickly create cloud storage and access it remotely

40 332

📌 Building a Personal API for Your Data Projects with FastAPI 🗂 Category: DATA SCIENCE 🕒 Date: 2025-04-22 | ⏱️ Read time: 8 min read Supercharge your data projects by turning your code into a lightweight, reusable API

40 332

📌 (Many) More TDS Contributors Are Now Eligible for Earning Through the Author Payment Program 🗂 Category: WRITING 🕒 Date: 2025-04-22 | ⏱️ Read time: 3 min read Plus: say hello to our new stats dashboard

40 332

📌 AI Agents Processing Time Series and Large Dataframes 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-04-22 | ⏱️ Read time: 10 min read Build from Scratch using only Python & Ollama (no GPU, no APIKEY)

40 332

📌 MapReduce: How It Powers Scalable Data Processing 🗂 Category: DATA ENGINEERING 🕒 Date: 2025-04-22 | ⏱️ Read time: 15 min read An overview of the MapReduce programming model and how it can be used to optimize…

40 332

📌 Is Your Training Data Representative? A Guide to Checking with PSI in Python 🗂 Category: DATA SCIENCE 🕒 Date: 2025-09-10 | ⏱️ Read time: 22 min read Comparing Variable Distributions Between Two Datasets Using Population Stability Index (PSI) and Cramér’s V.

40 332

📌 How to Get Performance Data from Power BI with DAX Studio 🗂 Category: DATA ANALYSIS 🕒 Date: 2025-04-22 | ⏱️ Read time: 10 min read Sometimes we have a slow Report, and we need to figure out why. I will…

40 332

📌 Enterprise AI: From Build-or-Buy to Partner-and-Grow 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-04-22 | ⏱️ Read time: 18 min read How can you get started, and who should implement your first AI projects?

40 332

📌 Explained: How Does L1 Regularization Perform Feature Selection? 🗂 Category: MATHEMATICS 🕒 Date: 2025-04-22 | ⏱️ Read time: 8 min read Understanding automatic feature-selection performed by L1 (LASSO) Regularization

40 332

📌 Data Science: From School to Work, Part IV 🗂 Category: PROGRAMMING 🕒 Date: 2025-04-23 | ⏱️ Read time: 17 min read Good practices for testing your Python projects

40 332

📌 Why Most Cyber Risk Models Fail Before They Begin 🗂 Category: CYBERSECURITY 🕒 Date: 2025-04-23 | ⏱️ Read time: 5 min read The case for quantitative thinking in cyber risk