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 365...

📈 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 40 202 suscriptores, ocupando la posición 3 365 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 40 202 suscriptores.

Según los últimos datos del 02 julio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 343, y en las últimas 24 horas de 10, conservando un alto alcance.

Estado de verificación: No verificado
Tasa de interacción (ER): El promedio de interacción de la audiencia es 1.99%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 2.28% de reacciones respecto al total de suscriptores.
Alcance de las publicaciones: Cada publicación recibe en promedio 800 visualizaciones. En el primer día suele acumular 915 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 03 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.

40 202

Suscriptores

+1024 horas

+837 días

+34330 días

800

Visitas de la publicación

~ 91524 horas

~ 1 23548 horas

1.99%

Tasa de compromiso

~ 3

Mensajes por día

Ads index

beta

Archivo de publicaciones

40 198

📌 How I Used Clustering to Improve Chunking and Build Better RAGs 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-04 | ⏱️ Read time: 8 min read It’s both fast and cost-effective

40 198

📌 Batch And Streaming Demystified For Unification 🗂 Category: DATA ENGINEERING 🕒 Date: 2024-09-04 | ⏱️ Read time: 29 min read Understand how batch can be considered a subset of streaming and why data engineering should…

40 198

📌 How to Train a Vision Transformer (ViT) from Scratch 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-09-04 | ⏱️ Read time: 13 min read A practical guide to implementing the Vision Transformer (ViT)

40 198

📌 Hands-On Global Optimization Methods, with Python 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-04 | ⏱️ Read time: 15 min read Four methods to find the maximum (or minimum) of your black box objective function

40 198

📌 Monte Carlo Methods for Solving Reinforcement Learning Problems 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-09-04 | ⏱️ Read time: 20 min read Dissecting “Reinforcement Learning” by Richard S. Sutton with Custom Python Implementations, Episode III

40 198

📌 Automated Prompt Engineering: The Definitive Hands-On Guide 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2024-09-04 | ⏱️ Read time: 26 min read Learn how to automate prompt engineering and unlock significant performance improvements in your LLM workload

40 198

📌 Understanding Time Series Structural Changes 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-09-04 | ⏱️ Read time: 7 min read How to detect time series change points using Python

40 198

📌 Your Pathway to Success: How You Can Land a Machine Learning and Data Science Internship 🗂 Category: CAREER ADVICE 🕒 Date: 2024-09-04 | ⏱️ Read time: 18 min read Advice and tips from a data scientist who landed two internships in a year

40 198

📌 Peer Review Demystified: What, Why, and How 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-09-04 | ⏱️ Read time: 12 min read Learnings as an AI & Robotics Associate Editor with 100 Peer Reviews

40 198

📌 GPTs and the Forehead Detective 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-09-05 | ⏱️ Read time: 14 min read Are the reasoning capabilities of OpenAI LLMs good enough to play the classic guessing game?

40 198

📌 My Weekly Calendar as a Senior Data Science Manager 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-05 | ⏱️ Read time: 17 min read My goal is to cover the 3Ps: People, Projects and Process. In that order of…

40 198

📌 The Latest on LLMs: Decision-Making, Knowledge Graphs, Reasoning Skills, and More 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-05 | ⏱️ Read time: 5 min read Our weekly selection of must-read Editors’ Picks and original features

40 198

📌 How to Make an Advanced Spider Chart in Python 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-05 | ⏱️ Read time: 8 min read Step-by-step explanation with an easy to use function at the end

40 198

📌 Image Segmentation With K-Means Clustering 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-09-05 | ⏱️ Read time: 11 min read An introduction with Python

40 198

📌 An Introduction to Bayesian A/B Testing 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-09-05 | ⏱️ Read time: 7 min read Gain better insights from your data

40 198

📌 How to Create a Custom Matplotlib Theme and Make Your Charts Go from Boring to Amazing 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-05 | ⏱️ Read time: 6 min read The best part? You’ll only have to do this once.

40 198

📌 Building a Multilingual Multi-Agent Chat Application Using LangGraph – Part I 🗂 Category: 🕒 Date: 2024-09-06 | ⏱️ Read time: 12 min read In this 3-part series, learn how to build a RAG-based, multilingual, agentic chat application to…

40 198

📌 Reasoning as the Engine Driving Legal Arguments 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-09-06 | ⏱️ Read time: 12 min read Statements of reasoning indicate types of argument

40 198

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40 198

📌 A Guide to Clustering Algorithms 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-06 | ⏱️ Read time: 6 min read An overview of clustering and the different families of clustering algorithms.