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Machine Learning

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

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📈 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 41 267 suscriptores, ocupando la posición 3 166 en la categoría Tecnologías y Aplicaciones y el puesto 216 en la región Siria.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 41 267 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 320, y en las últimas 24 horas de 11, conservando un alto alcance.

  • Estado de verificación: No verificado
  • Tasa de interacción (ER): El promedio de interacción de la audiencia es 3.20%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 1.65% de reacciones respecto al total de suscriptores.
  • Alcance de las publicaciones: Cada publicación recibe en promedio 1 319 visualizaciones. En el primer día suele acumular 680 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 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.

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Publicaciones del Canal
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🚀Round 2 – 14-Day CCNA & CCNP Study Sprint! Our first 21-Day Sprint was a huge success — we saw amazing check-ins, great dis
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🎓 Deep Learning for Images with PyTorch: CNNs to GANs #Data_Science #DataCamp 🏫 Platform: DataCamp 🆓 100% FREE ━━━━━━━━━━━
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🧲 Your agent writes the tool. You keep the terminal closed. You know the shape of the script before you open the editor. The
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Complete Python Programming Course from Basics to Advanced Learn Python from basics to advanced concepts, including variables
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🔖Computer Science Fundamentals from MIT We found the textbook Mathematics for Computer Science – covering the mathematics that underlies algorithms and computer science. Logic, graphs, combinatorics, probability, induction, recurrence relations, and discrete structures – all in one place. ⛓️ Link to the textbook https://ocw.mit.edu/courses/6-042j-mathematics-for-computer-science-spring-2015/mit6_042js15_textbook.pdf
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