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 40 310 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 40 310 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.

40 310

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

40 310

📌 Nine Pico PIO Wats with MicroPython (Part 2) 🗂 Category: PROGRAMMING 🕒 Date: 2025-01-28 | ⏱️ Read time: 16 min read Raspberry Pi programmable IO pitfalls illustrated with a musical example

40 310

📌 The Three Phases of Learning Machine Learning 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-28 | ⏱️ Read time: 7 min read Part One: The beginner phase

40 310

📌 Battle of the Ducks 🗂 Category: DATA ENGINEERING 🕒 Date: 2025-01-28 | ⏱️ Read time: 13 min read DuckDB vs Fireducks: the ultimate throwdown

40 310

📌 How to do Date calculations in DAX 🗂 Category: 🕒 Date: 2025-01-28 | ⏱️ Read time: 6 min read Moving back and forth in time is a common task for Time Intelligence in DAX.…

40 310

📌 How GenAI Tools Have Changed My Work as a Data Scientist 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-01-28 | ⏱️ Read time: 11 min read An overview of the 4 use cases and 6 GenAI tools I use

40 310

📌 Exploring DeepSeek’s R1 Training Process 🗂 Category: 🕒 Date: 2025-01-29 | ⏱️ Read time: 11 min read Open-Source Intelligence on Par with Proprietary Models

40 310

📌 Prompting Vision Language Models 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-01-29 | ⏱️ Read time: 21 min read Exploring techniques to prompt VLMs

40 310

📌 NLP Illustrated, Part 3: Word2Vec 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-29 | ⏱️ Read time: 13 min read An exhaustive and illustrated guide to Word2Vec with code!

40 310

📌 AI Ethics for the Everyday User – Why Should You Care? 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-01-29 | ⏱️ Read time: 15 min read A beginner’s guide to understanding the importance of ethics in artificial intelligence

40 310

📌 Bite-Size Data Science: Falling for the Gambler’s Fallacy 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-30 | ⏱️ Read time: 12 min read Where the gambler’s fallacy shows up in data science and what to do about it

40 310

📌 Ridge Regression: A Robust Path to Reliable Predictions 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-30 | ⏱️ Read time: 11 min read Learn how regularization reduces overfitting and improves model stability in linear regression.

40 310

📌 A Visual Guide to How Diffusion Models Work 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-02-06 | ⏱️ Read time: 26 min read This article is aimed at those who want to understand exactly how diffusion models work,…

40 310

📌 Introduction to Minimum Cost Flow Optimization in Python 🗂 Category: DATA SCIENCE 🕒 Date: 2025-02-06 | ⏱️ Read time: 21 min read Minimum cost flow optimization minimizes the cost of moving flow through a network of nodes…

40 310

📌 Efficient Metric Collection in PyTorch: Avoiding the Performance Pitfalls of TorchMetrics 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-02-06 | ⏱️ Read time: 13 min read Metric collection is an essential part of every machine learning project, enabling us to track…

40 310

📌 How to Create Network Graph Visualizations in Microsoft PowerBI 🗂 Category: DATA VISUALIZATION 🕒 Date: 2025-02-07 | ⏱️ Read time: 6 min read Microsoft PowerBI is a one of the most popular business intelligence (BI) tools, and while…

40 310

📌 A Comprehensive Guide to LLM Temperature 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-02-07 | ⏱️ Read time: 8 min read While building my own LLM-based application, I found many prompt engineering guides, but few equivalent…

40 310

📌 The Method of Moments Estimator for Gaussian Mixture Models 🗂 Category: DATA SCIENCE 🕒 Date: 2025-02-07 | ⏱️ Read time: 8 min read Audio processing is one of the most important application domains of digital signal processing (DSP)…

40 310

📌 Synthetic Data Generation with LLMs 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-02-07 | ⏱️ Read time: 9 min read Popularity of RAG Over the past two years while working with financial firms, I’ve observed…

40 310

📌 I Tried Making my Own (Bad) LLM Benchmark to Cheat in Escape Rooms 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-02-07 | ⏱️ Read time: 20 min read Recently, DeepSeek announced their latest model, R1, and article after article came out praising its…

40 310

📌 Triangle Forecasting: Why Traditional Impact Estimates Are Inflated (And How to Fix Them) 🗂 Category: DATA SCIENCE 🕒 Date: 2025-02-07 | ⏱️ Read time: 7 min read Accurate impact estimations can make or break your business case. Yet, despite its importance, most…