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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
Good at AI? Show your best – participate in the international AI Journey Contest. The award fund is over USD $87,000! 🤩 The
Good at AI? Show your best – participate in the international AI Journey Contest. The award fund is over USD $87,000! 🤩 The tasks are grand and ambitious. Participants will work with SOTA technologies on one or more of the proposed tasks: ✔️ Emotional FusionBrain 4.0 — create a multimodal model that understands videos, answers complex questions, and recognizes human emotions. ✔️ Multiagent AI — develop a multi-agent RL system where agents will form different cooperation schemes to solve tasks. This challenge is extremely valuable for scientific research. ✔️ Embodied AI — create an assistant robot that will solve complex tasks involving interaction with the environment and humans, communicating in natural language. ✔️ E-com AI Assistant — using the LLM GigaChat, create an AI assistant that can recommend relevant products for purchase on the Megamarket marketplace to users. Be the one to boost the AI growth! Follow the link, register and get ready to complete the tasks by October 28!

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📱Machine Learning and Artificial intelligence 📱Artificial Intelligence for Students

🔅 Artificial Intelligence for Students 🌐 Author: Jim Sterne 🔰 Level: Beginner ⏰ Duration: 1h 28m 🌀 Learn the fundamentals
🔅 Artificial Intelligence for Students 🌐 Author: Jim Sterne 🔰 Level: BeginnerDuration: 1h 28m
🌀 Learn the fundamentals of artificial intelligence, a growing area of technology that will be prevalent for years to come.
📗 Topics: Artificial Intelligence 📤 Join Machine Learning and Artificial intelligence for more courses

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Artificial Intelligence Market Size
Artificial Intelligence Market Size

8 - Deep Learning for NLP - Part 04

8 - Deep Learning for NLP - Part 03

8 - Deep Learning for NLP - Part 02

8 - Deep Learning for NLP - Part 01

7 - Topic Modeling - Part 02

7 - Topic Modeling - Part 01

6 - Semantics and Sentiment Analysis - Part 02

6 - Semantics and Sentiment Analysis - Part 01

5 - Text Classification - Part 03

5 - Text Classification - Part 02

5 - Text Classification - Part 01

4 - Part of Speech Tagging and Named Entity Recognition - Part 02