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 365...

📈 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 40 193 suscriptores, ocupando la posición 3 365 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 40 193 suscriptores.

Según los últimos datos del 01 julio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 355, y en las últimas 24 horas de 21, 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 2.12% de reacciones respecto al total de suscriptores.
Alcance de las publicaciones: Cada publicación recibe en promedio 818 visualizaciones. En el primer día suele acumular 851 visualizaciones.
Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 2.
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 02 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.

40 193

Suscriptores

+2124 horas

+857 días

+35530 días

818

Visitas de la publicación

~ 85124 horas

~ 1 13948 horas

2.04%

Tasa de compromiso

~ 3

Mensajes por día

Ads index

beta

Archivo de publicaciones

40 194

📌 Learning to Unlearn: Why Data Scientists and AI Practitioners Should Understand Machine Unlearning 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-08-22 | ⏱️ Read time: 24 min read Explore the intersections between privacy and AI with a guide to removing the impact of…

40 194

📌 SQL User Defined Functions (UDFs) 🗂 Category: DATA SCIENCE 🕒 Date: 2024-08-22 | ⏱️ Read time: 11 min read A tutorial on mastering SQL UDFs: categories, use cases, and difference from stored procedures

40 194

📌 Structured State Space Models Visually Explained 🗂 Category: DEEP LEARNING 🕒 Date: 2024-08-22 | ⏱️ Read time: 21 min read Part 2 – Towards Mamba State Space Models for Images, Videos and Time Series

40 194

📌 LLM Agents, Text Vectorization, Advanced SQL, and Other Must-Reads by Our Newest Authors 🗂 Category: DATA SCIENCE 🕒 Date: 2024-08-22 | ⏱️ Read time: 4 min read Our weekly selection of must-read Editors’ Picks and original features

40 194

📌 The Floyd-Warshall Algorithm From Graph Theory, Applied to Parsing Molecular Structures 🗂 Category: CHEMISTRY 🕒 Date: 2024-08-22 | ⏱️ Read time: 10 min read Hands-on explanations assisted by simple JavaScript code

40 194

📌 What It Takes To Build a Great Graph 🗂 Category: 🕒 Date: 2024-08-22 | ⏱️ Read time: 8 min read Our world is composed of relationships. Who we know, how we interact, how we transact…

40 194

Curious about mastering ethical hacking? Unlock the full CEH v13 course for free—no strings attached! Discover insider knowledge, practical labs, and tools you won’t find anywhere else. Don’t miss this exclusive chance to propel your IT skills to the next level. Start learning today—access everything right here! #ad InsideAds

40 194

📌 Graph RAG – A conceptual introduction 🗂 Category: 🕒 Date: 2024-08-22 | ⏱️ Read time: 10 min read Graph RAG answers the big questions where text embeddings won’t help you.

40 194

📌 A Data Science Leader’s Guide to Ensuring Every Project Drives Business Value 🗂 Category: CAREER ADVICE 🕒 Date: 2024-08-22 | ⏱️ Read time: 9 min read Lessons from someone who manages a team of 8

40 194

📌 Why Does Position-Based Chunking Lead to Poor Performance in RAGs? 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-08-22 | ⏱️ Read time: 12 min read How to implement semantic chunking and gain better results.

40 194

📌 Reinforcement Learning, Part 7: Introduction to Value-Function Approximation 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-08-22 | ⏱️ Read time: 13 min read Scaling reinforcement learning from tabular methods to large spaces

40 194

📌 Building an Image Similarity Search Engine with FAISS and CLIP 🗂 Category: DEEP LEARNING 🕒 Date: 2024-08-23 | ⏱️ Read time: 6 min read A guided tutorial explaining how to search your image dataset with text or photo queries,…

40 194

📌 Building an Agentic Retrieval-Augmented Generation (RAG) System with IBM Watsonx and Langchain 🗂 Category: 🕒 Date: 2024-08-23 | ⏱️ Read time: 6 min read A quick-start tutorial

40 194

📌 BERT – Intuitively and Exhaustively Explained 🗂 Category: DATA SCIENCE 🕒 Date: 2024-08-23 | ⏱️ Read time: 58 min read Baking General Understanding into Language Models

40 194

📌 The Tournament of Reinforcement Learning: DDPG, SAC, PPO, I2A, Decision Transformer 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-08-23 | ⏱️ Read time: 15 min read Training simulated humanoid robots to fight using five new Reinforcement Learning papers

40 194

📌 Art Guard: Protecting Your Online Images From Generative AI 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-08-23 | ⏱️ Read time: 21 min read Steps you can take to prevent bots from scraping and using your art to train…

40 194

📌 An Introduction to Quantum Computers and Quantum Coding 🗂 Category: 🕒 Date: 2024-08-23 | ⏱️ Read time: 18 min read Demystifying the novel world of quantum computing, quantum programming, and quantum algorithms.

40 194

📌 DBSCAN, Explained in 5 Minutes 🗂 Category: DATA SCIENCE 🕒 Date: 2024-08-23 | ⏱️ Read time: 5 min read Fastest implementation in python

40 194

📌 Interpreting Weight Regularization In Machine Learning 🗂 Category: DEEP LEARNING 🕒 Date: 2024-08-23 | ⏱️ Read time: 9 min read Why do L1 and L2 regularization result in model sparsity and weight shrinkage? What about…

40 194

📌 Bernoulli Naive Bayes, Explained: A Visual Guide with Code Examples for Beginners 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-08-24 | ⏱️ Read time: 9 min read Unlocking predictive power through Yes/No probability