Artificial Intelligence
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Red:📈 Análisis del canal de Telegram Artificial Intelligence
El canal Artificial Intelligence (@artificial_intelligence_com) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 72 043 suscriptores, ocupando la posición 1 737 en la categoría Tecnologías y Aplicaciones y el puesto 4 348 en la región India.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 72 043 suscriptores.
Según los últimos datos del 15 septiembre, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de -334, y en las últimas 24 horas de -14, conservando un alto alcance.
- Estado de verificación: No verificado
- Tasa de interacción (ER): El promedio de interacción de la audiencia es 7.56%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 2.14% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 5 450 visualizaciones. En el primer día suele acumular 1 544 visualizaciones.
- Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 6.
- Intereses temáticos: El contenido se centra en temas clave como learning, linkedin, linux, udemy, 040k|.
📝 Descripción y política de contenido
El autor describe el recurso como un espacio para expresar opiniones subjetivas:
“🔒 Welcome Artificial Intelligence Channel
Buy ads: https://telega.io/c/Artificial_Intelligence_COM”
Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 16 septiembre, 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.
72 043
Suscriptores
-1424 horas
-1587 días
-33430 días
Archivo de publicaciones
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🔅 Deep Learning: Getting Started
📝 Learn the basics of deep learning and get up and running with this technology.
🌐 Author: Kumaran Ponnambalam
🔰 Level: Intermediate
⏰ Duration: 1h 13m
📋 Topics: Deep Learning, Machine Learning, Artificial Intelligence
🔗 Join Machine Learning for more courses
72 043
⭐️ Mayday (2026)
📅 Release Date: September 04, 2026
When a U.S. Navy pilot on a top-secret mission during the Cold War gets trapped behind enemy lines, his only chance at survival is to form an alliance with an eccentric ex-KGB agent.🔒 VIP Exclusive This documentary is only visible to vip members. 🔗 Subscribe first: VIP Channel 🔗 Then view content: Link For more information go to: The Premium Vault
72 043
🔅 Machine Learning Foundations: Linear Algebra
📝 Explore the fundamentals of linear algebra, the mathematical foundation of machine learning algorithms.
🌐 Author: Terezija Semenski
🔰 Level: Intermediate
⏰ Duration: 1h 21m
📋 Topics: Linear Algebra, Machine Learning, Artificial Intelligence
🔗 Join Machine Learning for more courses
72 043
+4
📊 Scikit-learn is your go-to Python library for building machine learning models — fast, flexible, and beginner-friendly! Whether you're tackling classification, regression, clustering, or dimensionality reduction, it has all the tools you need.
💡 Built on NumPy, SciPy, and matplotlib, it makes tasks like model training, cross-validation, and evaluation super smooth.
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🤝 Machine Learning Roadmap for you! 🚀
Save this post and start your journey today! 💻✨
✅ Basics of R and Python
🧮 Learn Math & Stats Concepts
🤖 Grasp ML Concepts
🦾 Master essential libraries like NumPy, Pandas, Matplotlib
⚙️Learn evaluation metrics like precision, recall, F1, and cross-validation techniques.
💪Explore deep learning, NLP, reinforcement learning, CNNs, RNNs
📊 Work on Kaggle and GitHub to tackle real-world machine learning problems
👥 Focus on Collaboration
👩💻Stay updated with courses and follow ML experts to keep learning and growing
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🔅 Execute and Evaluate Hugging Face AI Models
📝 Discover essential, in-demand skills for leveraging pretrained models. Learn how to select, implement, and evaluate models using the machine learning platform Hugging Face.
🌐 Author: Kendall Ruber
🔰 Level: Intermediate
⏰ Duration: 1h 18m
📋 Topics: Generative AI, Machine Learning, Artificial Intelligence
🔗 Join Machine Learning for more courses
72 043
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🔐 What is The Premium Vault?
We are a private Telegram channel dedicated to delivering high-quality, premium content that you simply cannot find through ordinary searches, free platforms, or standard telegram channels. Every piece of content inside this vault is carefully collected, researched, and created exclusively for our members.📦 What’s Inside? 1⃣ Tutorials, and resources across various premium sites 🔢 Movies, TV Shows and Documentaries 🔢 Premium Applications, fully featured, paid-tier software and productivity tools 〰️〰️〰️〰️〰️〰️〰️〰️〰️ 🚫 What You Won't Find Here: No recycled freebies. No low-effort posts. No clickbait. Everything inside The Premium Vault is original, valuable, or rare — shared only with our inner circle of premium subscribers. 🔗 https://t.me/ThePremiumVault/4
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🔍 Let’s decode the regression game!
Linear Regression might sound simple, but there's a whole world behind that straight line. 😉
Here are 7 powerful types of regression every data scientist should have in their toolkit:
📈 Simple Linear – One feature, one prediction line. Perfect for basic trend analysis.
📊 Multiple Linear – Multiple predictors, more accuracy. Great for real-world complexity.
🧮 Polynomial – When life (or data) isn't linear, curve it up!
🎯 Logistic – Wait... it’s for classification? Yes! Regression in name, classifier at heart.
🌀 Non-linear – Because not all relationships are straight forward.
📉 Ridge – Tackles multicollinearity with L2 regularization.
⚖️ Lasso – Feature selection king, thanks to L1 regularization.
🧠 Each model solves different data dilemmas — pick smart, experiment often!
