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 Siria228 Tecnologías y Aplicaciones3 344...

📈 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 40 208 suscriptores, ocupando la posición 3 344 en la categoría Tecnologías y Aplicaciones y el puesto 228 en la región Siria.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 40 208 suscriptores.

Según los últimos datos del 03 julio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 338, y en las últimas 24 horas de 9, conservando un alto alcance.

Estado de verificación: No verificado
Tasa de interacción (ER): El promedio de interacción de la audiencia es 2.04%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 2.42% de reacciones respecto al total de suscriptores.
Alcance de las publicaciones: Cada publicación recibe en promedio 822 visualizaciones. En el primer día suele acumular 973 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 04 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.

40 208

Suscriptores

+924 horas

+727 días

+33830 días

822

Visitas de la publicación

~ 97324 horas

~ 1 32148 horas

2.04%

Tasa de compromiso

~ 3

Mensajes por día

Ads index

beta

Archivo de publicaciones

40 218

📌 Decision Tree Regressor, Explained: A Visual Guide with Code Examples 🗂 Category: DATA SCIENCE 🕒 Date: 2024-10-10 | ⏱️ Read time: 11 min read Trimming branches smartly with Cost-Complexity Pruning

40 218

📌 Low-Code Data Connectors and Destinations 🗂 Category: DATA ENGINEERING 🕒 Date: 2024-10-10 | ⏱️ Read time: 13 min read Get started with Airbyte and Cloud Storage

40 218

📌 How to Parallelize Copy Activities in Azure Data Factory 🗂 Category: DATA ENGINEERING 🕒 Date: 2024-10-10 | ⏱️ Read time: 8 min read Optimizing Data Transfer for Enterprise Data Lakes

40 218

📌 A Walkthrough of Nvidia’s Latest Multi-Modal LLM Family 🗂 Category: DEEP LEARNING 🕒 Date: 2024-10-10 | ⏱️ Read time: 6 min read From LLaVA, Flamingo, to NVLM

40 218

📌 All About AI Agents: Autonomy, Reasoning, Alignment, and More 🗂 Category: DATA SCIENCE 🕒 Date: 2024-10-10 | ⏱️ Read time: 4 min read Our weekly selection of must-read Editors’ Picks and original features

40 218

📌 Cyclic Partition: An Up to 1.5x Faster Partitioning Algorithm 🗂 Category: 🕒 Date: 2024-10-10 | ⏱️ Read time: 27 min read A sequence partitioning algorithm that does minimal rearrangements of values

40 218

📌 The Transparent Human 🗂 Category: DATA SCIENCE 🕒 Date: 2024-10-10 | ⏱️ Read time: 11 min read How data can reveal the true nature of anyone

40 218

📌 Using Vision Language Models to Process Millions of Documents 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-09-26 | ⏱️ Read time: 10 min read Learn how to effectively apply vision language models to problem solving

40 218

📌 Why MissForest Fails in Prediction Tasks: A Key Limitation You Need to Keep in Mind 🗂 Category: DATA SCIENCE 🕒 Date: 2025-09-26 | ⏱️ Read time: 23 min read Why the original MissForest algorithm cannot be directly applied for predictive modeling, and how MissForestPredict…

40 218

📌 Building Fact-Checking Systems: Catching Repeating False Claims Before They Spread 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-09-26 | ⏱️ Read time: 12 min read How retrieval and ensemble methods make fact-checking faster, scalable, and more reliable in a digital…

40 218

📌 Bringing Structure to Your Data 🗂 Category: 🕒 Date: 2024-10-14 | ⏱️ Read time: 13 min read Testing assumptions with path models

40 218

📌 Your eCommerce product performance reports are probably misleading you 🗂 Category: 🕒 Date: 2024-10-14 | ⏱️ Read time: 7 min read Why single metrics in isolation fall short and how Weighted Composite Scoring can transform your…

40 218

📌 My Freelance Experience as a Geo Data Scientist on UpWork after 10 Months 🗂 Category: DATA SCIENCE 🕒 Date: 2024-10-14 | ⏱️ Read time: 8 min read How to get clients, reviews and stable income

40 218

📌 Building Video Game Recommender Systems with FastAPI, PostgreSQL, and Render: Part 1 🗂 Category: DATA SCIENCE 🕒 Date: 2025-09-25 | ⏱️ Read time: 24 min read Designing a video game recommendations service with Steams API

40 218

📌 Building a Video Game Recommender System with FastAPI, PostgreSQL, and Render: Part 2 🗂 Category: DATA SCIENCE 🕒 Date: 2025-09-25 | ⏱️ Read time: 17 min read Deploying a FastAPI + PostgreSQL recommender system as a web application on Render

40 218

📌 Notes on LLM Evaluation 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-09-25 | ⏱️ Read time: 15 min read A practical, step-by-step guide to building an evaluation pipeline for a real-world AI application

40 218

📌 TDS Newsletter: To Better Understand AI, Look Under the Hood 🗂 Category: THE VARIABLE 🕒 Date: 2025-09-25 | ⏱️ Read time: 3 min read AI-powered tools tend to generate extreme reactions: on one side we have the “It’s magic!” and…

40 218

📌 What Goes Into AI? Exploring the GenAI Technology Stack 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-10-11 | ⏱️ Read time: 21 min read You’ve heard of OpenAI and Nvidia, but do you know who else is involved in…

40 218

📌 Cruel Summer 🗂 Category: DATA SCIENCE 🕒 Date: 2024-10-11 | ⏱️ Read time: 9 min read Lessons Learned from the Worst Tech Job Market in 20 Years

40 218

📌 Tracking Hurricanes With AI Weather Models 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-10-11 | ⏱️ Read time: 6 min read Storm chasing for data scientists: A Hurricane Milton case study