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 40 265 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 40 265 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.

40 265
Suscriptores
-424 horas
+917 días
+33630 días
Archivo de publicaciones
📌 How I Built a Real-Time Weather Data Pipeline Using AWS-Entirely Serverless 🗂 Category: DATA ENGINEERING 🕒 Date: 2025-01
📌 How I Built a Real-Time Weather Data Pipeline Using AWS-Entirely Serverless 🗂 Category: DATA ENGINEERING 🕒 Date: 2025-01-02 | ⏱️ Read time: 8 min read A practical guide to leveraging AWS Lambda, Kinesis, and DynamoDB for real-time insights

📌 Start a New Year of Learning on the Right Foot 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-02 | ⏱️ Read time: 4 min read A
📌 Start a New Year of Learning on the Right Foot 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-02 | ⏱️ Read time: 4 min read A special edition of must-read articles and resources to help you kick off a productive…

📌 Data Engineering – ORM and ODM with Python 🗂 Category: DATA ENGINEERING 🕒 Date: 2025-01-02 | ⏱️ Read time: 7 min read Ma
📌 Data Engineering – ORM and ODM with Python 🗂 Category: DATA ENGINEERING 🕒 Date: 2025-01-02 | ⏱️ Read time: 7 min read Manipulate database data leveraging an object-oriented programming paradigm

📌 How to Stand Out in The Data Science Job Market 🗂 Category: CAREER ADVICE 🕒 Date: 2025-01-02 | ⏱️ Read time: 7 min read
📌 How to Stand Out in The Data Science Job Market 🗂 Category: CAREER ADVICE 🕒 Date: 2025-01-02 | ⏱️ Read time: 7 min read How to have the edge in your data science application

📌 The Fallacy of Complacent Distroless Containers 🗂 Category: SECURITY AND PRIVACY 🕒 Date: 2025-01-02 | ⏱️ Read time: 6 mi
📌 The Fallacy of Complacent Distroless Containers 🗂 Category: SECURITY AND PRIVACY 🕒 Date: 2025-01-02 | ⏱️ Read time: 6 min read Making containers smaller is the most popular practice when reducing your attack surface. But how…

📌 Demand Forecasting with Darts: A Tutorial 🗂 Category: 🕒 Date: 2025-01-02 | ⏱️ Read time: 19 min read A hands-on tutorial
📌 Demand Forecasting with Darts: A Tutorial 🗂 Category: 🕒 Date: 2025-01-02 | ⏱️ Read time: 19 min read A hands-on tutorial with Python and Darts for demand forecasting, showcasing the power of TiDE…

📌 Harnessing Polars and Geopandas to Generate Millions of Transects in Seconds 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-03
📌 Harnessing Polars and Geopandas to Generate Millions of Transects in Seconds 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-03 | ⏱️ Read time: 11 min read Making the bears play nice

📌 Integrating Feature Selection into the Model Estimation 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-01-03 | ⏱️ Read time:
📌 Integrating Feature Selection into the Model Estimation 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-01-03 | ⏱️ Read time: 11 min read Combining mixture of normal regressions with in-built feature selection into powerful modeling tool

📌 What I’m Updating in My AI Ethics Class for 2025 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-01-03 | ⏱️ Read time:
📌 What I’m Updating in My AI Ethics Class for 2025 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-01-03 | ⏱️ Read time: 12 min read What happened in 2024 that is new and significant in the world of AI ethics?

📌 Non-Technical Principles All Data Scientists Should Have 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-03 | ⏱️ Read time: 13
📌 Non-Technical Principles All Data Scientists Should Have 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-03 | ⏱️ Read time: 13 min read Making you a better data scientist, and enhancing your career.

📌 The Cultural Impact of AI Generated Content: Part 2 🗂 Category: 🕒 Date: 2025-01-03 | ⏱️ Read time: 11 min read What can
📌 The Cultural Impact of AI Generated Content: Part 2 🗂 Category: 🕒 Date: 2025-01-03 | ⏱️ Read time: 11 min read What can we do about the increasingly sophisticated AI generated content in our lives?

📌 How to Tell Among Two Regression Models with Statistical Significance 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-03 | ⏱️ R
📌 How to Tell Among Two Regression Models with Statistical Significance 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-03 | ⏱️ Read time: 9 min read Diving into the F-test for nested models with algorithms, examples and code

📌 Data behind the Luck, Ambition, and a Billion-Dollar Dream: Lottery 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-04 | ⏱️ Rea
📌 Data behind the Luck, Ambition, and a Billion-Dollar Dream: Lottery 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-04 | ⏱️ Read time: 13 min read Using Seattle’s local retail store data for consumer patterns of the lottery (SQL, Python)

📌 The Next Frontier in LLM Accuracy 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-01-04 | ⏱️ Read time: 21 min read Exp
📌 The Next Frontier in LLM Accuracy 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-01-04 | ⏱️ Read time: 21 min read Exploring the Power of Lamini Memory Tuning

📌 Journey to Full-Stack Data Scientist: Model Deployment 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-04 | ⏱️ Read time: 11 mi
📌 Journey to Full-Stack Data Scientist: Model Deployment 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-04 | ⏱️ Read time: 11 min read An introduction to productionizing a machine learning model using APIs and Docker.

📌 Awesome Plotly with Code Series (Part 7): Cropping the y-axis in Bar Charts 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-05
📌 Awesome Plotly with Code Series (Part 7): Cropping the y-axis in Bar Charts 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-05 | ⏱️ Read time: 10 min read Is there ever a good reason for starting a bar chart above zero?

📌 Predicting a Ball Trajectory 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-05 | ⏱️ Read time: 7 min read Polynomial Fit in Py
📌 Predicting a Ball Trajectory 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-05 | ⏱️ Read time: 7 min read Polynomial Fit in Python with NumPy

📌 Google’s Willow Quantum Computing Chip: A Game Changer? 🗂 Category: PHYSICS 🕒 Date: 2025-01-06 | ⏱️ Read time: 12 min re
📌 Google’s Willow Quantum Computing Chip: A Game Changer? 🗂 Category: PHYSICS 🕒 Date: 2025-01-06 | ⏱️ Read time: 12 min read Suppressing Logical Errors Exponentially! For the First Time

📌 Measuring The Execution Times of C Versus Rust 🗂 Category: 🕒 Date: 2025-01-06 | ⏱️ Read time: 15 min read Is C is faster
📌 Measuring The Execution Times of C Versus Rust 🗂 Category: 🕒 Date: 2025-01-06 | ⏱️ Read time: 15 min read Is C is faster than Rust? I had always assumed the answer to that question…

📌 Why Variable Scoping Can Make or Break Your Data Science Workflow 🗂 Category: 🕒 Date: 2025-01-06 | ⏱️ Read time: 7 min r
📌 Why Variable Scoping Can Make or Break Your Data Science Workflow 🗂 Category: 🕒 Date: 2025-01-06 | ⏱️ Read time: 7 min read Let’s kick off 2025 by writing some clean code together