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 Siria227 Tecnologías y Aplicaciones3 343...

📈 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 40 244 suscriptores, ocupando la posición 3 343 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 40 244 suscriptores.

Según los últimos datos del 05 julio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 346, y en las últimas 24 horas de 22, conservando un alto alcance.

Estado de verificación: No verificado
Tasa de interacción (ER): El promedio de interacción de la audiencia es 1.97%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 1.86% de reacciones respecto al total de suscriptores.
Alcance de las publicaciones: Cada publicación recibe en promedio 794 visualizaciones. En el primer día suele acumular 749 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 06 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.

40 244

Suscriptores

+2224 horas

+987 días

+34630 días

794

Visitas de la publicación

~ 74924 horas

~ 98448 horas

1.97%

Tasa de compromiso

~ 3

Mensajes por día

Ads index

beta

Archivo de publicaciones

40 255

📌 How I Built and Deployed an App in 2 days with Lovable, Supabase, and Netlify 🗂 Category: PROGRAMMING 🕒 Date: 2025-09-18 | ⏱️ Read time: 8 min read All ideas can be turned into action in a matter of time now.

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our WhatsApp channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A

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📌 Overcoming Security Challenges in Protecting Shared Generative AI Environments 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-12-02 | ⏱️ Read time: 15 min read Ensuring Safe AI on Multi-Tenancy

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📌 Machine Learning Experiments Done Right 🗂 Category: DATA SCIENCE 🕒 Date: 2024-12-02 | ⏱️ Read time: 8 min read A detailed guideline for designing machine learning experiments that produce reliable, reproducible results.

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📌 How to Build Prompt Engineering Expertise at Your Company 🗂 Category: LEADERSHIP AND MANAGEMENT 🕒 Date: 2024-12-02 | ⏱️ Read time: 9 min read You decided to employ generative AI at your company and have already conducted initial experiments…

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📌 Context-Aided Forecasting: Enhancing Forecasting with Textual Data 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-12-02 | ⏱️ Read time: 9 min read A promising alternative approach to improve forecasting

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📌 Paper Walkthrough: Neural Style Transfer 🗂 Category: DEEP LEARNING 🕒 Date: 2024-12-03 | ⏱️ Read time: 28 min read Turn your photos into paintings with deep learning – Implementing NST from scratch using PyTorch

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📌 The Ten Commandments for (Power BI) Reporting 🗂 Category: 🕒 Date: 2024-12-03 | ⏱️ Read time: 12 min read I have been asked about some basic rules when creating a reporting solution. Here I…

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📌 The Name That Broke ChatGPT: Who is David Mayer? 🗂 Category: 🕒 Date: 2024-12-03 | ⏱️ Read time: 20 min read When a buddy suggested I try putting the name “David Mayer” into ChatGPT, I didn’t think much…

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📌 Should you switch from VSCode to Cursor? 🗂 Category: 🕒 Date: 2024-12-03 | ⏱️ Read time: 8 min read My experience using VSCode (GitHub Copilot) and Cursor (Claude 3.5 Sonnet) as a Data Scientist.

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📌 The Cultural Impact of AI Generated Content: Part 1 🗂 Category: GENERATIVE AI 🕒 Date: 2024-12-03 | ⏱️ Read time: 9 min read What happens when AI generated media becomes ubiquitous in our lives? How does this relate…

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📌 From Retrieval to Intelligence: Exploring RAG, Agent+RAG, and Evaluation with TruLens 🗂 Category: 🕒 Date: 2024-12-03 | ⏱️ Read time: 26 min read Unlocking the Power of GPT-Generated Private Corpora

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📌 Becoming a Data Scientist: What I Would Do If I Had to Start Over 🗂 Category: DATA SCIENCE 🕒 Date: 2024-12-03 | ⏱️ Read time: 12 min read Breaking into data science: The Good, the Bad, and the Python Bugs

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📌 Query Optimization for Mere Humans in PostgreSQL 🗂 Category: DATA ENGINEERING 🕒 Date: 2024-12-03 | ⏱️ Read time: 9 min read Understanding a PostgreSQL execution plan with practical examples

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📌 LLMs for Coding in 2024: Price, Performance, and the Battle for the Best 🗂 Category: CODING 🕒 Date: 2024-12-04 | ⏱️ Read time: 13 min read Evaluating the current LLM landscape based both benchmarks and real-world insights to help you make…

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📌 Training Language Models on Google Colab 🗂 Category: DEEP LEARNING 🕒 Date: 2024-12-04 | ⏱️ Read time: 5 min read A guide to iterative fine-tuning and serialisation

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📌 Information at a Glance: Do Your Charts Suck? 🗂 Category: DATA VISUALIZATION 🕒 Date: 2024-12-04 | ⏱️ Read time: 9 min read How pre-attentive processing, Gestalt theory, and visual data encoding inform data design decisions

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📌 Machine Learning Basics I Look for in Data Scientist Interviews 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-12-04 | ⏱️ Read time: 50 min read Let’s build our breadth of science together.

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📌 An Introduction to CTEs in SQL 🗂 Category: PROGRAMMING 🕒 Date: 2024-12-04 | ⏱️ Read time: 6 min read Explore how Common Table Expression (CTE) can help optimize SQL performance and readability

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📌 Step-by-Step Guide for Building Bump Charts in Plotly 🗂 Category: DATA SCIENCE 🕒 Date: 2024-12-04 | ⏱️ Read time: 13 min read Learn how to create custom bump charts in Python using Plotly for data visualization