es
Feedback
Machine Learning

Machine Learning

Ir al canal en Telegram

Real Machine Learning — simple, practical, and built on experience. Learn step by step with clear explanations and working code. Admin: @HusseinSheikho || @Hussein_Sheikho

Mostrar más

📈 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 40 255 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 40 255 suscriptores.

Según los últimos datos del 06 julio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 336, y en las últimas 24 horas de -4, conservando un alto alcance.

  • Estado de verificación: No verificado
  • Tasa de interacción (ER): El promedio de interacción de la audiencia es 2.25%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 1.88% de reacciones respecto al total de suscriptores.
  • Alcance de las publicaciones: Cada publicación recibe en promedio 906 visualizaciones. En el primer día suele acumular 758 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 07 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.

40 255
Suscriptores
-424 horas
+917 días
+33630 días
Archivo de publicaciones
📌 Why Retrieval-Augmented Generation Is Still Relevant in the Era of Long-Context Language Models 🗂 Category: ARTIFICIAL IN
📌 Why Retrieval-Augmented Generation Is Still Relevant in the Era of Long-Context Language Models 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-12-12 | ⏱️ Read time: 7 min read In this article we will explore why 128K tokens and more models can’t fully replace…

📌 Bayes’ Theorem: Understanding Business Outcomes with Evidence 🗂 Category: DATA SCIENCE 🕒 Date: 2024-12-12 | ⏱️ Read time
📌 Bayes’ Theorem: Understanding Business Outcomes with Evidence 🗂 Category: DATA SCIENCE 🕒 Date: 2024-12-12 | ⏱️ Read time: 11 min read A practical introduction to Bayes’ Theorem: Probability for Data Science Series (2)

📌 I’m Doing the Advent of Code 2024 in Python – Day 3 🗂 Category: DATA SCIENCE 🕒 Date: 2024-12-13 | ⏱️ Read time: 5 min re
📌 I’m Doing the Advent of Code 2024 in Python – Day 3 🗂 Category: DATA SCIENCE 🕒 Date: 2024-12-13 | ⏱️ Read time: 5 min read Let’s see how many stars we’ll collect.

📌 Addressing the Butterfly Effect: Data Assimilation Using Ensemble Kalman Filter 🗂 Category: 🕒 Date: 2024-12-13 | ⏱️ Read
📌 Addressing the Butterfly Effect: Data Assimilation Using Ensemble Kalman Filter 🗂 Category: 🕒 Date: 2024-12-13 | ⏱️ Read time: 9 min read Learn how to implement the Ensemble Kalman Filter for data assimilation, with mathematical details step-by-step…

📌 Efficient Large Dimensional Self-Organising Maps with PyTorch 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-12-13 | ⏱
📌 Efficient Large Dimensional Self-Organising Maps with PyTorch 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-12-13 | ⏱️ Read time: 6 min read Because it’s fun to self-organise

📌 How I’d Learn AI in 2025 (If I Could Start Over) 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-12-13 | ⏱️ Read time: 7 min r
📌 How I’d Learn AI in 2025 (If I Could Start Over) 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-12-13 | ⏱️ Read time: 7 min read A 5-step roadmap for today’s landscape

📌 Agentic AI: Building Autonomous Systems from Scratch 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-12-13 | ⏱️ Read ti
📌 Agentic AI: Building Autonomous Systems from Scratch 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-12-13 | ⏱️ Read time: 16 min read A Step-by-Step Guide to Creating Multi-Agent Frameworks in the Age of Generative AI

📌 Ranking Basics: Pointwise, Pairwise, Listwise 🗂 Category: DATA SCIENCE 🕒 Date: 2024-12-14 | ⏱️ Read time: 8 min read Bec
📌 Ranking Basics: Pointwise, Pairwise, Listwise 🗂 Category: DATA SCIENCE 🕒 Date: 2024-12-14 | ⏱️ Read time: 8 min read Because thy neighbour matters

📌 Let’s Learn a Little About Computer Vision via Sudoku 🗂 Category: 🕒 Date: 2024-12-14 | ⏱️ Read time: 9 min read Solving
📌 Let’s Learn a Little About Computer Vision via Sudoku 🗂 Category: 🕒 Date: 2024-12-14 | ⏱️ Read time: 9 min read Solving Sudoku is a fun challenge for coding, and adding computer vision to populate the…

📌 A Design Researcher’s Guide to Publishing 🗂 Category: DESIGN 🕒 Date: 2024-12-15 | ⏱️ Read time: 10 min read Turn ‘publis
📌 A Design Researcher’s Guide to Publishing 🗂 Category: DESIGN 🕒 Date: 2024-12-15 | ⏱️ Read time: 10 min read Turn ‘publish or perish’ into ‘learn, write, and share’

📌 Credit Card Fraud Detection with Different Sampling Techniques 🗂 Category: DATA SCIENCE 🕒 Date: 2024-12-15 | ⏱️ Read tim
📌 Credit Card Fraud Detection with Different Sampling Techniques 🗂 Category: DATA SCIENCE 🕒 Date: 2024-12-15 | ⏱️ Read time: 10 min read How to deal with imbalanced data

📌 The Essential Guide to R and Python Libraries for Data Visualization 🗂 Category: DATA SCIENCE 🕒 Date: 2024-12-16 | ⏱️ Re
📌 The Essential Guide to R and Python Libraries for Data Visualization 🗂 Category: DATA SCIENCE 🕒 Date: 2024-12-16 | ⏱️ Read time: 19 min read Let’s dive into the most important libraries in R and Python to visualise data and…

📌 Structured LLM Output Using Ollama 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-12-17 | ⏱️ Read time: 11 min read Co
📌 Structured LLM Output Using Ollama 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-12-17 | ⏱️ Read time: 11 min read Control your model responses effectively

📌 USGS DEM Files: How to Load, Merge, and Crop with Python 🗂 Category: 🕒 Date: 2024-12-17 | ⏱️ Read time: 12 min read A qu
📌 USGS DEM Files: How to Load, Merge, and Crop with Python 🗂 Category: 🕒 Date: 2024-12-17 | ⏱️ Read time: 12 min read A quick guide to prepping digital elevation data

📌 The Good, the Bad, and the Ugly: Memory for a Neural Network 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-12-17 | ⏱️
📌 The Good, the Bad, and the Ugly: Memory for a Neural Network 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-12-17 | ⏱️ Read time: 13 min read Memory can play tricks, to learn best it is not always good to memorize

📌 My Experiments with NotebookLM for Teaching 🗂 Category: LLM APPLICATIONS 🕒 Date: 2025-09-16 | ⏱️ Read time: 8 min read E
📌 My Experiments with NotebookLM for Teaching 🗂 Category: LLM APPLICATIONS 🕒 Date: 2025-09-16 | ⏱️ Read time: 8 min read Exploring NotebookLM as a teaching companion

📌 Using Python to Build a Calculator 🗂 Category: PROGRAMMING 🕒 Date: 2025-09-16 | ⏱️ Read time: 5 min read A beginner-frie
📌 Using Python to Build a Calculator 🗂 Category: PROGRAMMING 🕒 Date: 2025-09-16 | ⏱️ Read time: 5 min read A beginner-friendly Python project to understand conditional statements, loops and recursive functions

📌 Building a Unified Intent Recognition Engine 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-09-16 | ⏱️ Read time: 6 mi
📌 Building a Unified Intent Recognition Engine 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-09-16 | ⏱️ Read time: 6 min read How modular design can simplify and scale intent classification in enterprise AI systems

📌 A Case for Bagging and Boosting as Data Scientists’ Best Friends 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-12-17
📌 A Case for Bagging and Boosting as Data Scientists’ Best Friends 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-12-17 | ⏱️ Read time: 16 min read Leveraging wisdom of the crowd in ML models.

📌 Four Signs It’s Time to Leave Your Data Science Job 🗂 Category: CAREER ADVICE 🕒 Date: 2024-12-17 | ⏱️ Read time: 7 min r
📌 Four Signs It’s Time to Leave Your Data Science Job 🗂 Category: CAREER ADVICE 🕒 Date: 2024-12-17 | ⏱️ Read time: 7 min read Four tell-tale signs that you should look for another job