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 Siria228 Tecnologías y Aplicaciones3 344...

📈 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 40 208 suscriptores, ocupando la posición 3 344 en la categoría Tecnologías y Aplicaciones y el puesto 228 en la región Siria.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 40 208 suscriptores.

Según los últimos datos del 03 julio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 338, y en las últimas 24 horas de 9, conservando un alto alcance.

Estado de verificación: No verificado
Tasa de interacción (ER): El promedio de interacción de la audiencia es 2.04%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 2.42% de reacciones respecto al total de suscriptores.
Alcance de las publicaciones: Cada publicación recibe en promedio 822 visualizaciones. En el primer día suele acumular 973 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 04 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.

40 208

Suscriptores

+924 horas

+727 días

+33830 días

822

Visitas de la publicación

~ 97324 horas

~ 1 32148 horas

2.04%

Tasa de compromiso

~ 3

Mensajes por día

Ads index

beta

Archivo de publicaciones

40 211

📌 How to Handle Imbalanced Datasets in Machine Learning Projects 🗂 Category: DATA SCIENCE 🕒 Date: 2024-10-03 | ⏱️ Read time: 10 min read Techniques to handle imbalanced datasets, examples, and Python snippets

40 211

📌 Efficient Testing of ETL Pipelines with Python 🗂 Category: DATA ENGINEERING 🕒 Date: 2024-10-03 | ⏱️ Read time: 11 min read How to Instantly Detect Data Quality Issues and Identify their Causes

40 211

📌 Exploring How the New OpenAI Realtime API Simplifies Voice Agent Flows 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-10-03 | ⏱️ Read time: 9 min read Setting up a Voice Agent using Twilio and the OpenAI Realtime API

40 211

📌 How to succeed with AI: Combining Kafka and AI Guardrails 🗂 Category: DATA SCIENCE 🕒 Date: 2024-10-03 | ⏱️ Read time: 5 min read Why real-time data and governance are non-negotiable for AI

40 211

📌 Graph RAG, Automated Prompt Engineering, Agent Frameworks, and Other September Must-Reads 🗂 Category: DATA SCIENCE 🕒 Date: 2024-10-03 | ⏱️ Read time: 4 min read The stories that resonated the most with our community in the past month

40 211

📌 Who Really Owns the Airbnbs You’re Booking? – Marketing Perception vs Data Analytics Reality 🗂 Category: DATA SCIENCE 🕒 Date: 2024-10-03 | ⏱️ Read time: 9 min read Over the last 20 years, Airbnb has spent billions on brand building as the authentic,…

40 211

📌 What You Need to Know Before Switching to a Data Science Career in 2024 🗂 Category: CAREER ADVICE 🕒 Date: 2024-10-03 | ⏱️ Read time: 13 min read How the market has changed (and the roadmap I’d follow if I started my journey…

40 211

📌 Data Architecture: Lessons Learned 🗂 Category: DATA ENGINEERING 🕒 Date: 2024-10-04 | ⏱️ Read time: 13 min read Three important lessons I have learned on my journey as data engineer and architect

40 211

📌 Stop Guessing and Measure Your RAG System to Drive Real Improvements 🗂 Category: 🕒 Date: 2024-10-04 | ⏱️ Read time: 30 min read Key metrics and techniques to elevate your retrieval-augmented generation performance

40 211

📌 Advanced Techniques in Lying using Data Visualizations 🗂 Category: DATA VISUALIZATION 🕒 Date: 2024-10-04 | ⏱️ Read time: 11 min read Discover the power of chart design to manipulate an audience, whatever the narrative

40 211

📌 Dynamic GitHub Pages – Panel (pyodide-worker) 🗂 Category: PROGRAMMING 🕒 Date: 2024-10-04 | ⏱️ Read time: 12 min read How do you create a dynamic and client-side GitHub Pages ? The first stone in an…

40 211

📌 Four Takeaways from a 5-Year Journey 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-10-04 | ⏱️ Read time: 6 min read Navigating the post-graduation learnings

40 211

📌 Running visibility analysis in QGIS 🗂 Category: DATA SCIENCE 🕒 Date: 2024-10-04 | ⏱️ Read time: 10 min read One of my all-time favourite types of spatial analysis is visibility analysis. It’s a really…

40 211

📌 Prompt Caching in LLMs: Intuition 🗂 Category: DEEP LEARNING 🕒 Date: 2024-10-04 | ⏱️ Read time: 4 min read A brief tour of how caching works in attention-based models

40 211

📌 Making Text Data AI-Ready 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-10-04 | ⏱️ Read time: 8 min read An introduction using no-code solutions

40 211

📌 AI-Powered Corrosion Detection for Industrial Equipment: A Scalable Approach with AWS 🗂 Category: DATA SCIENCE 🕒 Date: 2024-10-05 | ⏱️ Read time: 6 min read A Complete AWS ML Solution with SageMaker, Lambda, and API Gateway

40 211

📌 5 Amazing Plugins for an Eye-Catching Visual Studio Code UI 🗂 Category: PROGRAMMING 🕒 Date: 2024-10-05 | ⏱️ Read time: 7 min read Make your code shine by transforming the IDE into a stunning coding environment

40 211

📌 What Clients Really Ask for in AI Projects 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-09-27 | ⏱️ Read time: 7 min read Managing AI projects is no walk in the park, but you have the power to…

40 211

📌 Learning Triton One Kernel At a Time: Vector Addition 🗂 Category: DEEP LEARNING 🕒 Date: 2025-09-27 | ⏱️ Read time: 9 min read The basics of GPU programming, optimisation, and your first Triton kernel

40 211

📌 RAG 101: Chunking Strategies 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-10-05 | ⏱️ Read time: 13 min read Why, When, and How to chunk for enhanced RAG. Build intuition to develop chunking strategies.