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

40 244

📌 Are You Sure You Want to Become a Data Science Manager? 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-22 | ⏱️ Read time: 18 min read Don’t rush into the fancy title until you have read this.

40 244

📌 Another Hike Up Everest 🗂 Category: 🕒 Date: 2024-11-22 | ⏱️ Read time: 9 min read How to make progress on hard problems in AI

40 244

📌 LLM Routing – Intuitively and Exhaustively Explained 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-11-22 | ⏱️ Read time: 69 min read Dynamically Choosing the Right LLM

40 244

📌 Dynamic, Lazy Dependency Injection in Python 🗂 Category: CODING 🕒 Date: 2024-11-22 | ⏱️ Read time: 7 min read Automatic Python dependency injection to make your code more testable, decoupled, uncomplicated and readable

40 244

📌 How Spotify Implemented Personalized Audiobook Recommendations 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-11-22 | ⏱️ Read time: 9 min read Personalized audiobook recommendations using graph neural networks

40 244

📌 Don’t Be Afraid to Use Machine Learning for Simple Tasks 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-22 | ⏱️ Read time: 7 min read A common misconception across industries

40 244

📌 Productionising GenAI Agents: Evaluating Tool Selection with Automated Testing 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-11-22 | ⏱️ Read time: 21 min read How to create reliable and scalable GenAI Agents for real-world applications

40 244

📌 Documenting Python Projects with MkDocs 🗂 Category: 🕒 Date: 2024-11-22 | ⏱️ Read time: 9 min read Use Markdown to quickly create a beautiful documentation page for your projects

40 244

📌 Engineering the Future: Common Threads in Data, Software, and Artificial Intelligence 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-11-23 | ⏱️ Read time: 8 min read How recognizing cross-discipline commonalities not only enhances recruitment strategies but also supports adaptable IT architectures.

40 244

📌 Implementing Streamlit-Authenticator Across Multi-Page Apps 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-23 | ⏱️ Read time: 7 min read Streamlit-Authenticator allows you to add a simple yet robust method for user authentication in a…

40 244

📌 Confidence Interval vs. Prediction Interval 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-24 | ⏱️ Read time: 9 min read A small but important difference that you should know

40 244

📌 The Difference Between ML Engineers and Data Scientists 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-11-24 | ⏱️ Read time: 6 min read Helping you decide whether you want to be a data scientist or machine learning engineer

40 244

📌 Perform Outlier Detection More Effectively Using Subsets of Features 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-24 | ⏱️ Read time: 38 min read Identify relevant subspaces: subsets of features that allow you to most effectively perform outlier detection…

40 244

📌 Step-by-Step Guide for Building Waffle Charts in Plotly 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-25 | ⏱️ Read time: 13 min read Learn how to create custom waffle charts in Python using Plotly for data visualization

40 244

📌 Bias-Variance Tradeoff, Explained: A Visual Guide with Code Examples for Beginners 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-11-25 | ⏱️ Read time: 22 min read How underfitting and overfitting fight over your models

40 244

📌 Why Batch Normalization Matters for Deep Learning 🗂 Category: DEEP LEARNING 🕒 Date: 2024-11-25 | ⏱️ Read time: 13 min read Discover the role of batch normalization in streamlining neural network training and improving model performance

40 244

📌 Trapped in the Net: Where is a Foundation Model for Graphs? 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-11-25 | ⏱️ Read time: 12 min read Disconnected from the other modalities graphs wait for their AI revolution: is it coming?

40 244

📌 Dog Poop Compass: Bayesian Analysis of Canine Business 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-25 | ⏱️ Read time: 23 min read A Bayesian analysis of canine business

40 244

📌 Building a Knowledge Graph From Scratch Using LLMs 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-11-25 | ⏱️ Read time: 46 min read Turn your Pandas Data Frame into a Knowledge Graph using LLMs. Build your own LLM…

40 244

📌 Deploying a PICO Extractor in Five Steps 🗂 Category: NATURAL LANGUAGE PROCESSING 🕒 Date: 2025-09-19 | ⏱️ Read time: 8 min read Lessons learned deploying a domain-specific NER model