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
Machine Learning with PythonRed:Machine Learning with PythonSiria225Tecnologías 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 40 365 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 40 365 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.

40 365
Suscriptores
+1724 horas
+1237 días
+39330 días
Archivo de publicaciones
Machine Learning
Machine Learningverified-telegram-icon
40 373
photo content

Machine Learning
Machine Learningverified-telegram-icon
40 373
📌 Data Roles, Small Language Models, Knowledge Graphs, and More: Our January Must-Reads 🗂 Category: DATA SCIENCE 🕒 Date: 2
📌 Data Roles, Small Language Models, Knowledge Graphs, and More: Our January Must-Reads 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-30 | ⏱️ Read time: 5 min read The stories that resonated the most with our community in the past month

Machine Learning
Machine Learningverified-telegram-icon
40 373
📌 Time Series Forecasting with MFLES 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-01-30 | ⏱️ Read time: 7 min read The newest
📌 Time Series Forecasting with MFLES 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-01-30 | ⏱️ Read time: 7 min read The newest method in StatsForecast

Machine Learning
Machine Learningverified-telegram-icon
40 373
📌 Nine Pico PIO Wats with Rust (Part 1) 🗂 Category: PROGRAMMING 🕒 Date: 2025-01-30 | ⏱️ Read time: 19 min read Raspberry P
📌 Nine Pico PIO Wats with Rust (Part 1) 🗂 Category: PROGRAMMING 🕒 Date: 2025-01-30 | ⏱️ Read time: 19 min read Raspberry Pi programmable IO pitfalls illustrated with a musical example

Machine Learning
Machine Learningverified-telegram-icon
40 373
📌 Navigating Data Science Content: Recognizing Common Pitfalls, Part 1 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-30 | ⏱️ Re
📌 Navigating Data Science Content: Recognizing Common Pitfalls, Part 1 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-30 | ⏱️ Read time: 6 min read Uncovering and correcting misconceptions in online data science content to help you learn more effectively

Machine Learning
Machine Learningverified-telegram-icon
40 373
📌 Stop Creating Bad DAGs – Optimize Your Airflow Environment By Improving Your Python Code 🗂 Category: DATA ENGINEERING 🕒
📌 Stop Creating Bad DAGs – Optimize Your Airflow Environment By Improving Your Python Code 🗂 Category: DATA ENGINEERING 🕒 Date: 2025-01-30 | ⏱️ Read time: 10 min read Valuable tips to reduce your DAGs’ parse time and save resources.

Machine Learning
Machine Learningverified-telegram-icon
40 373
📌 DeepSeek-V3 Explained 1: Multi-head Latent Attention 🗂 Category: DEEP LEARNING 🕒 Date: 2025-01-31 | ⏱️ Read time: 9 min
📌 DeepSeek-V3 Explained 1: Multi-head Latent Attention 🗂 Category: DEEP LEARNING 🕒 Date: 2025-01-31 | ⏱️ Read time: 9 min read Key architecture innovation behind DeepSeek-V2 and DeepSeek-V3 for faster inference

Machine Learning
Machine Learningverified-telegram-icon
40 373
📌 AI Development vs Software Engineering: Key Differences Explained 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-01-31
📌 AI Development vs Software Engineering: Key Differences Explained 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-01-31 | ⏱️ Read time: 6 min read Why Treating AI Projects Like Traditional Software Development Limits Your Team’s Potential for Success

Machine Learning
Machine Learningverified-telegram-icon
40 373
📌 How Likely Is a Six Nations Grand Slam in 2025? 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-31 | ⏱️ Read time: 15 min read
📌 How Likely Is a Six Nations Grand Slam in 2025? 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-31 | ⏱️ Read time: 15 min read The Six Nations is back! This article explores how we can use Data Science &…

Machine Learning
Machine Learningverified-telegram-icon
40 373
📌 Visualize Data Streams in Python 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-31 | ⏱️ Read time: 7 min read Plotting continu
📌 Visualize Data Streams in Python 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-31 | ⏱️ Read time: 7 min read Plotting continuous real-time data with deque

Machine Learning
Machine Learningverified-telegram-icon
40 373
📌 The . Extension is Now a Thing in Python ? 🗂 Category: PROGRAMMING 🕒 Date: 2025-01-31 | ⏱️ Read time: 6 min read Transfo
📌 The . Extension is Now a Thing in Python ? 🗂 Category: PROGRAMMING 🕒 Date: 2025-01-31 | ⏱️ Read time: 6 min read Transform your .py files into . modules

Machine Learning
Machine Learningverified-telegram-icon
40 373
📌 The AI Product Manager 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-01-31 | ⏱️ Read time: 10 min read An introductio
📌 The AI Product Manager 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-01-31 | ⏱️ Read time: 10 min read An introduction to an exciting role leading impact with AI

Machine Learning
Machine Learningverified-telegram-icon
40 373
📌 Align Your Data Architecture for Universal Data Supply 🗂 Category: DATA ENGINEERING 🕒 Date: 2025-01-31 | ⏱️ Read time: 1
📌 Align Your Data Architecture for Universal Data Supply 🗂 Category: DATA ENGINEERING 🕒 Date: 2025-01-31 | ⏱️ Read time: 17 min read Follow me through the steps on how to evolve your architecture to align with your…

Machine Learning
Machine Learningverified-telegram-icon
40 373
📌 Inequality in Practice: E-commerce Portfolio Analysis 🗂 Category: 🕒 Date: 2025-01-31 | ⏱️ Read time: 36 min read From Ma
📌 Inequality in Practice: E-commerce Portfolio Analysis 🗂 Category: 🕒 Date: 2025-01-31 | ⏱️ Read time: 36 min read From Mathematical Theory to Actionable Insights: A 6-Year Shopify Case Study

Machine Learning
Machine Learningverified-telegram-icon
40 373
📌 Can Machines Dream? On the Creativity of Large Language Models 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-01-31 |
📌 Can Machines Dream? On the Creativity of Large Language Models 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-01-31 | ⏱️ Read time: 12 min read Exploring the Role of Hallucinations, Dependencies, and Imagination in AI Creativity

Machine Learning
Machine Learningverified-telegram-icon
40 373
📌 Fine-tuning Multimodal Embedding Models 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-01-31 | ⏱️ Read time: 10 min read Adap
📌 Fine-tuning Multimodal Embedding Models 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-01-31 | ⏱️ Read time: 10 min read Adapting CLIP to YouTube Data (with Python Code)

Machine Learning
Machine Learningverified-telegram-icon
40 373
📌 Using LLamaIndex Workflow to Implement an Agent Handoff Feature Like OpenAI Swarm 🗂 Category: 🕒 Date: 2025-02-01 | ⏱️ Re
📌 Using LLamaIndex Workflow to Implement an Agent Handoff Feature Like OpenAI Swarm 🗂 Category: 🕒 Date: 2025-02-01 | ⏱️ Read time: 22 min read Example: a customer service chatbot project

Machine Learning
Machine Learningverified-telegram-icon
40 373
📌 DeepSeek V3: A New Contender in AI-Powered Data Science 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-02-01 | ⏱️ Read
📌 DeepSeek V3: A New Contender in AI-Powered Data Science 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-02-01 | ⏱️ Read time: 12 min read How DeepSeek’s budget-friendly AI model stacks up against ChatGPT, Claude, and Gemini in SQL, EDA,…

Machine Learning
Machine Learningverified-telegram-icon
40 373
📌 Injecting domain expertise into your AI system 🗂 Category: ENTREPRENEURSHIP 🕒 Date: 2025-02-01 | ⏱️ Read time: 18 min re
📌 Injecting domain expertise into your AI system 🗂 Category: ENTREPRENEURSHIP 🕒 Date: 2025-02-01 | ⏱️ Read time: 18 min read How to connect the dots between AI technology and real life

Machine Learning
Machine Learningverified-telegram-icon
40 373
📌 Sparse AutoEncoder: from Superposition to interpretable features 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-02-01
📌 Sparse AutoEncoder: from Superposition to interpretable features 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-02-01 | ⏱️ Read time: 6 min read Disentangle features in complex Neural Network with superpositions