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Machine Learning

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

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📈 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 40 191 suscriptores, ocupando la posición 3 381 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 40 191 suscriptores.

Según los últimos datos del 01 julio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 355, y en las últimas 24 horas de 21, 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 2.12% de reacciones respecto al total de suscriptores.
  • Alcance de las publicaciones: Cada publicación recibe en promedio 818 visualizaciones. En el primer día suele acumular 851 visualizaciones.
  • Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 2.
  • 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 02 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.

40 191
Suscriptores
+2124 horas
+857 días
+35530 días
Archivo de publicaciones
📌 Embracing Simplicity and Composability in Data Engineering 🗂 Category: DATA ENGINEERING 🕒 Date: 2024-08-03 | ⏱️ Read tim
📌 Embracing Simplicity and Composability in Data Engineering 🗂 Category: DATA ENGINEERING 🕒 Date: 2024-08-03 | ⏱️ Read time: 11 min read Lessons from 30+ years in data engineering: The overlooked value of keeping it simple

📌 Predicting metadata for Humanitarian datasets with LLMs part 2 – An alternative to fine-tuning 🗂 Category: DATA SCIENCE �
📌 Predicting metadata for Humanitarian datasets with LLMs part 2 – An alternative to fine-tuning 🗂 Category: DATA SCIENCE 🕒 Date: 2024-08-03 | ⏱️ Read time: 34 min read Using LLM prompting for tagging metadata on humanitarian datasets

📌 Productionizing a RAG App with Prefect, Weave, and RAGAS 🗂 Category: 🕒 Date: 2024-08-03 | ⏱️ Read time: 14 min read Addi
📌 Productionizing a RAG App with Prefect, Weave, and RAGAS 🗂 Category: 🕒 Date: 2024-08-03 | ⏱️ Read time: 14 min read Adding evaluation, automated data pulling, and other improvements.

📌 Easy Object Detection with Yolo-NAS 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-08-03 | ⏱️ Read time: 7 min read Le
📌 Easy Object Detection with Yolo-NAS 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-08-03 | ⏱️ Read time: 7 min read Learn how to do object detection with Python using yolo-NAS

📌 An Introduction to Quantile Loss, a.k.a. the Pinball Loss 🗂 Category: DEEP LEARNING 🕒 Date: 2024-08-04 | ⏱️ Read time: 7
📌 An Introduction to Quantile Loss, a.k.a. the Pinball Loss 🗂 Category: DEEP LEARNING 🕒 Date: 2024-08-04 | ⏱️ Read time: 7 min read Learn the intuition behind the metric used to evaluate probabilistic forecasts

📌 Data Value Lineage, meaning at last? 🗂 Category: 🕒 Date: 2024-08-04 | ⏱️ Read time: 10 min read Maximise the business va
📌 Data Value Lineage, meaning at last? 🗂 Category: 🕒 Date: 2024-08-04 | ⏱️ Read time: 10 min read Maximise the business value of your data

📌 The Secret Network of Owls 🗂 Category: DATA SCIENCE 🕒 Date: 2024-08-04 | ⏱️ Read time: 6 min read A data-based tribute t
📌 The Secret Network of Owls 🗂 Category: DATA SCIENCE 🕒 Date: 2024-08-04 | ⏱️ Read time: 6 min read A data-based tribute to the International Owl Awareness Day

📌 How To Learn AI (Roadmap) 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-08-05 | ⏱️ Read time: 11 min read A full brea
📌 How To Learn AI (Roadmap) 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-08-05 | ⏱️ Read time: 11 min read A full breakdown of how you can learn AI this year effectively

📌 ChatGPT vs. Claude vs. Gemini for Data Analysis (Part 1) 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-08-05 | ⏱️ Rea
📌 ChatGPT vs. Claude vs. Gemini for Data Analysis (Part 1) 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-08-05 | ⏱️ Read time: 21 min read Ten Questions to test which AI assistant writes the best SQL

📌 How I Built BeatBuddy: A Web App that Analyzes Your Spotify Data 🗂 Category: DATA SCIENCE 🕒 Date: 2024-08-05 | ⏱️ Read t
📌 How I Built BeatBuddy: A Web App that Analyzes Your Spotify Data 🗂 Category: DATA SCIENCE 🕒 Date: 2024-08-05 | ⏱️ Read time: 11 min read The story behind BeatBuddy, a web app that analyzes what you’re listening to on Spotify

📌 How to Dynamically Restrict Data Import in Power Query 🗂 Category: 🕒 Date: 2024-08-06 | ⏱️ Read time: 9 min read When we
📌 How to Dynamically Restrict Data Import in Power Query 🗂 Category: 🕒 Date: 2024-08-06 | ⏱️ Read time: 9 min read When we have a large amount of data, we might ask: Do I really need…

📌 Segment Anything 2: What Is the Secret Sauce? (A Deep Learner’s Guide) 🗂 Category: DEEP LEARNING 🕒 Date: 2024-08-06 | ⏱️
📌 Segment Anything 2: What Is the Secret Sauce? (A Deep Learner’s Guide) 🗂 Category: DEEP LEARNING 🕒 Date: 2024-08-06 | ⏱️ Read time: 12 min read Foundation + Promptable + Interactive + Video. How?

📌 Gemma vs. Llama vs. Mistral: Exploring Smaller AI Models 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-08-06 | ⏱️ Rea
📌 Gemma vs. Llama vs. Mistral: Exploring Smaller AI Models 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-08-06 | ⏱️ Read time: 16 min read A Comparative Study of Small-Scale Language Models: Evaluating Gemma, Llama 3, and Mistral in Reading…

📌 A Simple Strategy to Improve LLM Query Generation 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-08-06 | ⏱️ Read time:
📌 A Simple Strategy to Improve LLM Query Generation 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-08-06 | ⏱️ Read time: 27 min read Dynamic Few-Shot Prompting

📌 Visualizing Stochastic Regularization for Entity Embeddings 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-08-06 | ⏱️ Read ti
📌 Visualizing Stochastic Regularization for Entity Embeddings 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-08-06 | ⏱️ Read time: 15 min read A glimpse into how neural networks perceive categoricals and their hierarchies

📌 Seven Key Features You Should Know for Creating Professional Visualizations with Plotly 🗂 Category: DATA VISUALIZATION 🕒
📌 Seven Key Features You Should Know for Creating Professional Visualizations with Plotly 🗂 Category: DATA VISUALIZATION 🕒 Date: 2024-08-06 | ⏱️ Read time: 5 min read Create Visualizations at the Level of Leading Newspapers

📌 How I Became a Data Scientist at Meta Without A “Perfect” Degree 🗂 Category: CAREER ADVICE 🕒 Date: 2024-08-06 | ⏱️ Read
📌 How I Became a Data Scientist at Meta Without A “Perfect” Degree 🗂 Category: CAREER ADVICE 🕒 Date: 2024-08-06 | ⏱️ Read time: 15 min read 4 jobs and 2 career pivots

📌 Data Visualization Explained (Part 3): The Role of Color 🗂 Category: DATA VISUALIZATION 🕒 Date: 2025-10-08 | ⏱️ Read tim
📌 Data Visualization Explained (Part 3): The Role of Color 🗂 Category: DATA VISUALIZATION 🕒 Date: 2025-10-08 | ⏱️ Read time: 7 min read A simple and powerful guide to using color for more impactful data stories.

📌 Scale Your Productivity: Leveraging AWS Gen AI to Summarize Meeting Notes in Seconds 🗂 Category: DATA SCIENCE 🕒 Date: 20
📌 Scale Your Productivity: Leveraging AWS Gen AI to Summarize Meeting Notes in Seconds 🗂 Category: DATA SCIENCE 🕒 Date: 2024-08-06 | ⏱️ Read time: 18 min read A comprehensive walkthrough on how one can utilize AWS Lambda, Bedrock, and S3 to create…

📌 Visualising Strava Race Analysis 🗂 Category: 🕒 Date: 2024-08-06 | ⏱️ Read time: 17 min read Two New Graphs That Compare
📌 Visualising Strava Race Analysis 🗂 Category: 🕒 Date: 2024-08-06 | ⏱️ Read time: 17 min read Two New Graphs That Compare Runners on the Same Event