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AI and Machine Learning

AI and Machine Learning

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Learn Data Science, Data Analysis, Machine Learning, Artificial Intelligence, and Python with Tensorflow, Pandas & more! Buy ads: https://telega.io/c/machine_learning_courses

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📈 Análisis del canal de Telegram AI and Machine Learning

El canal AI and Machine Learning (@machine_learning_courses) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 94 098 suscriptores, ocupando la posición 1 547 en la categoría Educación y el puesto 3 005 en la región India.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 94 098 suscriptores.

Según los últimos datos del 26 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 965, y en las últimas 24 horas de 37, conservando un alto alcance.

  • Estado de verificación: No verificado
  • Tasa de interacción (ER): El promedio de interacción de la audiencia es 6.79%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 2.34% de reacciones respecto al total de suscriptores.
  • Alcance de las publicaciones: Cada publicación recibe en promedio 6 384 visualizaciones. En el primer día suele acumular 2 203 visualizaciones.
  • Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 9.
  • Intereses temáticos: El contenido se centra en temas clave como learning, llm, linkedin, linux, udemy.

📝 Descripción y política de contenido

El autor describe el recurso como un espacio para expresar opiniones subjetivas:
Learn Data Science, Data Analysis, Machine Learning, Artificial Intelligence, and Python with Tensorflow, Pandas & more! Buy ads: https://telega.io/c/machine_learning_courses

Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 27 junio, 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 Educación.

94 098
Suscriptores
+3724 horas
+2267 días
+96530 días
Archivo de publicaciones
ChatGPT Telegram Bot: GPT-4o. Fast. No daily limits. Group Chat support (/help_group_chat to get instructions) Voice message recognition Code highlighting. Write code with AI! 15 special chat modes: 👩🏼‍🎓 Assistant, 👩🏼‍💻 Code Assistant, 👩‍🎨 Artist, 🧠 Psychologist, 🚀 Elon Musk and other

#meme
#meme

ChatGPT Telegram Bot: GPT-4o. Fast. No daily limits. Group Chat support (/help_group_chat to get instructions) Voice message
+1
ChatGPT Telegram Bot: GPT-4o. Fast. No daily limits. Group Chat support (/help_group_chat to get instructions) Voice message recognition Code highlighting. Write code with AI! 15 special chat modes: 👩🏼‍🎓 Assistant, 👩🏼‍💻 Code Assistant, 👩‍🎨 Artist, 🧠 Psychologist, 🚀 Elon Musk and other

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📱Machine Learning and Artificial intelligence 📱Introduction to MLSecOps

🔅 Introduction to MLSecOps 🌐 Author: Diana Kelley 🔰 Level: Intermediate ⏰ Duration: 1h 2m 🌀 Learn how to build security i
🔅 Introduction to MLSecOps 🌐 Author: Diana Kelley 🔰 Level: IntermediateDuration: 1h 2m
🌀 Learn how to build security into your machine learning and AI lifecycles with MLSecOps.
📗 Topics: MLOps, Security Operations, Machine Learning 📤 Join Machine Learning and Artificial intelligence for more courses

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Getting into neural networks: a massive, detailed Deep Learning textbook has been released 💬 Inside you'll find everything e
Getting into neural networks: a massive, detailed Deep Learning textbook has been released 💬 Inside you'll find everything essential about models: what transformers are, how image generation works, and much more. To reinforce the learning, there are 60 exercises in Python Notebook available on the website — link 😎

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🧠 Machine Learning Roadmap
🧠 Machine Learning Roadmap

📦 Exercise Files

📱Machine Learning and Artificial intelligence 📱Applied Machine Learning: Ensemble Learning

🔅 Applied Machine Learning: Ensemble Learning 🌐 Author: Derek Jedamski 🔰 Level: Intermediate ⏰ Duration: 2h 25m 🌀 Explore
🔅 Applied Machine Learning: Ensemble Learning 🌐 Author: Derek Jedamski 🔰 Level: IntermediateDuration: 2h 25m
🌀 Explore how to make powerful, accurate predictions with ensemble learners, one of the most common classes of machine learning algorithms.
📗 Topics: Applied Machine Learning 📤 Join Machine Learning and Artificial intelligence for more courses

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Looking for a Remote Job? 💻🌍 🔮 AI/ML/Data Science ➡️ https://t.me/remote_ai_jobs 🐍 Python ➡️ https://t.me/remote_python_j
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