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 Siria225 Tecnologías y Aplicaciones3 329...

📈 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 40 346 suscriptores, ocupando la posición 3 329 en la categoría Tecnologías y Aplicaciones y el puesto 225 en la región Siria.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 40 346 suscriptores.

Según los últimos datos del 11 julio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 393, y en las últimas 24 horas de 17, conservando un alto alcance.

Estado de verificación: No verificado
Tasa de interacción (ER): El promedio de interacción de la audiencia es 2.29%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 1.74% de reacciones respecto al total de suscriptores.
Alcance de las publicaciones: Cada publicación recibe en promedio 924 visualizaciones. En el primer día suele acumular 702 visualizaciones.
Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 4.
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 12 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.

40 346

Suscriptores

+1724 horas

+1237 días

+39330 días

924

Visitas de la publicación

~ 70224 horas

~ 1 07048 horas

2.29%

Tasa de compromiso

~ 2

Mensajes por día

Ads index

beta

Archivo de publicaciones

40 346

📌 Let’s Analyze OpenAI’s Claims About ChatGPT Energy Use 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-06-16 | ⏱️ Read time: 7 min read ChatGPT uses an average of 0.34 Wh per query, according to a blog post by…

40 346

📌 Grad-CAM from Scratch with PyTorch Hooks 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-06-17 | ⏱️ Read time: 16 min read A hands-on look at an explainable AI (XAI) technique that helps reveal why a convolutional…

40 346

📌 Apply Sphinx’s Functionality to Create Documentation for Your Next Data Science Project 🗂 Category: DATA SCIENCE 🕒 Date: 2025-06-17 | ⏱️ Read time: 6 min read Three cases to use the Sphinx tool as a pro

40 346

📌 LLaVA on a Budget: Multimodal AI with Limited Resources 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-06-17 | ⏱️ Read time: 8 min read Let’s get started with multimodality

40 346

📌 Abstract Classes: A Software Engineering Concept Data Scientists Must Know To Succeed 🗂 Category: DATA SCIENCE 🕒 Date: 2025-06-17 | ⏱️ Read time: 14 min read Simple concepts that differentiate a professional from amateurs.

40 346

📌 Computer Vision’s Annotation Bottleneck Is Finally Breaking 🗂 Category: SPONSORED CONTENT 🕒 Date: 2025-06-18 | ⏱️ Read time: 8 min read A Technical Deep Dive into Auto-Labeling

40 346

📌 Can We Use Chess to Predict Soccer? 🗂 Category: DATA SCIENCE 🕒 Date: 2025-06-18 | ⏱️ Read time: 29 min read An adaptation of Elo ratings for soccer implemented in Python

40 346

📌 A Multi-Agent SQL Assistant You Can Trust with Human-in-Loop Checkpoint & LLM Cost Control 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-06-18 | ⏱️ Read time: 19 min read Your very own SQL assistant built with Streamlit, SQLite, & CrewAI

40 346

📌 Animating Linear Transformations with Quiver 🗂 Category: DATA VISUALIZATION 🕒 Date: 2025-06-18 | ⏱️ Read time: 8 min read A useful tool in your quiver

40 346

📌 Beyond Code Generation: Continuously Evolve Text with LLMs 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-06-19 | ⏱️ Read time: 17 min read Long-running content evolution and an introduction to result analysis

40 346

📌 Core Machine Learning Skills, Revisited 🗂 Category: THE VARIABLE 🕒 Date: 2025-06-19 | ⏱️ Read time: 3 min read With all the buzz around agents, LLMs, and the tools they power, it’s sometimes easy…

40 346

📌 From Configuration to Orchestration: Building an ETL Workflow with AWS Is No Longer a Struggle 🗂 Category: DATA ENGINEERING 🕒 Date: 2025-06-19 | ⏱️ Read time: 7 min read A step-by-step guide to leverage AWS services for efficient data pipeline automation

40 346

📌 LLM-as-a-Judge: A Practical Guide 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-06-19 | ⏱️ Read time: 16 min read How to Scale LLM Evaluations Beyond Manual Review

40 346

📌 From Tokens to Theorems: Building a Neuro-Symbolic AI Mathematician 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-09-08 | ⏱️ Read time: 25 min read The next Gauss may not be born — they may be spun up in the…

40 346

📌 Agentic AI and the Future of Python Project Management Tooling 🗂 Category: AGENTIC AI 🕒 Date: 2025-09-08 | ⏱️ Read time: 10 min read Introducing a pyramid framework of evolution, accelerating and decelerating factors, and strategic recommendations for incumbents…

40 346

📌 Implementing the Gaussian Challenge in Python 🗂 Category: PROGRAMMING 🕒 Date: 2025-09-08 | ⏱️ Read time: 5 min read Beginner-friendly tutorial to understand range function and Python loops

40 346

📌 Understanding Matrices | Part 2: Matrix-Matrix Multiplication 🗂 Category: MATH 🕒 Date: 2025-06-19 | ⏱️ Read time: 15 min read The physical meaning of multiplying two matrices and how it works on several special matrices.

40 346

📌 Beyond Model Stacking: The Architecture Principles That Make Multimodal AI Systems Work 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-06-19 | ⏱️ Read time: 16 min read Transforming Independent Models into Collaborative Intelligence

40 346

📌 Understanding Application Performance with Roofline Modeling 🗂 Category: 🕒 Date: 2025-06-20 | ⏱️ Read time: 10 min read A common challenge with calculating an application’s performance is that the real-world performance and theoretical…

40 346

📌 Why You Should Not Replace Blanks with 0 in Power BI 🗂 Category: DATA ANALYSIS 🕒 Date: 2025-06-20 | ⏱️ Read time: 7 min read Did someone ask you to replace blank values with 0 in your reports? Maybe you…