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 40 265 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

906

Visitas de la publicación

~ 75824 horas

~ 1 03748 horas

2.25%

Tasa de compromiso

~ 3

Mensajes por día

Ads index

beta

Archivo de publicaciones

40 265

📌 The Multi-Armed Bandit Problem-A Beginner-Friendly Guide 🗂 Category: DATA SCIENCE 🕒 Date: 2024-12-23 | ⏱️ Read time: 6 min read Understanding the exploitation-exploration trade-off with an example

40 265

📌 Advanced Prompt Engineering: Chain of Thought (CoT) 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2024-12-23 | ⏱️ Read time: 26 min read Comparing different techniques for reasoning

40 265

📌 How to Clean Your Data for Your Real-Life Data Science Projects 🗂 Category: DATA SCIENCE 🕒 Date: 2024-12-23 | ⏱️ Read time: 7 min read How I treat missing values-with a quick Python Guide

40 265

📌 How to Tackle an Optimization Problem with Constraint Programming 🗂 Category: 🕒 Date: 2024-12-23 | ⏱️ Read time: 7 min read Case study: the travelling salesman problem

40 265

📌 Classifier-free guidance for LLMs performance enhancing 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-12-23 | ⏱️ Read time: 14 min read Check and improve classifier-free guidance for text generation large language models. While participating in NeurIPS…

40 265

📌 How Bias and Variance Affect Your Model 🗂 Category: DATA SCIENCE 🕒 Date: 2024-12-24 | ⏱️ Read time: 7 min read Learn the concepts and the practice. How a model behaves in each case.

40 265

📌 I’ve Done 80+ Data Science Interviews – Here’s What Works 🗂 Category: DATA SCIENCE 🕒 Date: 2024-12-24 | ⏱️ Read time: 7 min read 3 years of data science interview experience

40 265

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40 265

📌 Design Patterns with Python for Machine Learning Engineers: Template Method 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-12-24 | ⏱️ Read time: 4 min read Learn how to use the Template design pattern to enhance your code

40 265

📌 I’m Doing the Advent of Code 2024 in Python – Day 4 🗂 Category: DATA SCIENCE 🕒 Date: 2024-12-24 | ⏱️ Read time: 6 min read Let’s see how many stars we’ll collect.

40 265

📌 2024 Survival Guide for Machine Learning Engineer Interviews 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-12-24 | ⏱️ Read time: 17 min read A year-end summary for junior-level MLE interview preparation

40 265

📌 Building a Custom AI Jira Agent 🗂 Category: 🕒 Date: 2024-12-25 | ⏱️ Read time: 23 min read How I used Google Mesop, Django, LangChain Agents, CO-STAR & Chain-of-Thought prompting combined with the…

40 265

📌 Three Important Pandas Functions You Need to Know 🗂 Category: DATA SCIENCE 🕒 Date: 2024-12-25 | ⏱️ Read time: 6 min read Master these techniques to stand out as a Python developer

40 265

📌 Sensor Fusion – KITTI – ‘Lidar-based Obstacle Detection’ – Part-1 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-12-25 | ⏱️ Read time: 24 min read Sensor fusion, multi-modal perception, autonomous vehicles – if these keywords pique your interest, this Medium…

40 265

📌 How to Become a Machine Learning Engineer (Step-by-Step) 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-09-15 | ⏱️ Read time: 12 min read Your one-stop guide to becoming a machine learning engineer

40 265

📌 Learn How to Use Transformers with HuggingFace and SpaCy 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-09-15 | ⏱️ Read time: 7 min read Mastering NLP with spaCy: Part 4

40 265

📌 You Only Need 3 Things to Turn AI Experiments into AI Advantage 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-09-15 | ⏱️ Read time: 7 min read Trapped in a purgatory of POCs enterprises need to focus and build just 3 pillars…

40 265

📌 Implementing the Coffee Machine Project in Python Using Object Oriented Programming 🗂 Category: PROGRAMMING 🕒 Date: 2025-09-15 | ⏱️ Read time: 9 min read Understanding classes, objects, attributes, and methods

40 265

📌 A Visual Guide to Tuning Gradient Boosted Trees 🗂 Category: DATA SCIENCE 🕒 Date: 2025-09-15 | ⏱️ Read time: 10 min read Introduction My previous posts looked at the bog-standard decision tree and the wonder of a…

40 265

📌 Learning ML or Learning About Learning ML? 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-03 | ⏱️ Read time: 4 min read Pragmatism versus (over-)planning