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Machine learning books and papers

Machine learning books and papers

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Admin: @Raminmousa ID: @Machine_learn link: https://t.me/Machine_learn

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📈 Análisis del canal de Telegram Machine learning books and papers

El canal Machine learning books and papers (@machine_learn) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 24 505 suscriptores, ocupando la posición 8 033 en la categoría Educación y el puesto 13 749 en la región Irán.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 24 505 suscriptores.

Según los últimos datos del 03 julio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de -99, y en las últimas 24 horas de 2, conservando un alto alcance.

  • Estado de verificación: No verificado
  • Tasa de interacción (ER): El promedio de interacción de la audiencia es 6.54%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 2.24% de reacciones respecto al total de suscriptores.
  • Alcance de las publicaciones: Cada publicación recibe en promedio 1 603 visualizaciones. En el primer día suele acumular 549 visualizaciones.
  • Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 1.
  • Intereses temáticos: El contenido se centra en temas clave como disorder, psy, مقاله, framework, graph.

📝 Descripción y política de contenido

El autor describe el recurso como un espacio para expresar opiniones subjetivas:
“Admin: @Raminmousa ID: @Machine_learn link: https://t.me/Machine_learn”

Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 04 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 Educación.

24 505
Suscriptores
+224 horas
-107 días
-9930 días
Archivo de publicaciones
Machine learning books and papers
Machine learning books and papers
24 505
Machine Learning for OpenCV A practical introduction to the world of machine learning and image processing using #OpenCV and #Python #book #ML @Machine_learn

Machine learning books and papers
Machine learning books and papers
24 505
Machine Learning for OpenCV A practical introduction to the world of machine learning and image processing using #OpenCV and
Machine Learning for OpenCV A practical introduction to the world of machine learning and image processing using #OpenCV and #Python #book #ML @Machine_learn

Machine learning books and papers
Machine learning books and papers
24 505
Machine Learning Refined Foundations, Algorithms, and Applications JEREMY WATT, REZA BORHANI, AND AGGELOS K. KATSAGGELOS #book #ML @Machine_learn

Machine learning books and papers
Machine learning books and papers
24 505
Machine Learning Refined Foundations, Algorithms, and Applications JEREMY WATT, REZA BORHANI, AND AGGELOS K. KATSAGGELOS #boo
Machine Learning Refined Foundations, Algorithms, and Applications JEREMY WATT, REZA BORHANI, AND AGGELOS K. KATSAGGELOS #book #ML @Machine_learn

Machine learning books and papers
Machine learning books and papers
24 505
@Machine_learn ​​New paper on training with pseudo-labels for semantic segmentation Semi-Supervised Segmentation of Salt Bodi
@Machine_learn ​​New paper on training with pseudo-labels for semantic segmentation Semi-Supervised Segmentation of Salt Bodies in Seismic Images: SOTA (1st place) at TGS Salt Identification Challenge. Github: https://github.com/ybabakhin/kaggle_salt_bes_phalanx ArXiV: https://arxiv.org/abs/1904.04445 #GCPR2019 #Segmentation #CV

Machine learning books and papers
Machine learning books and papers
24 505
Learning Scrapy Learn the art of efficient web scraping and crawling with Python #book #python #Scrapy @Machine_leaen

Machine learning books and papers
Machine learning books and papers
24 505
Learning Scrapy Learn the art of efficient web scraping and crawling with Python #book #python #Scrapy @Machine_leaen
Learning Scrapy Learn the art of efficient web scraping and crawling with Python #book #python #Scrapy @Machine_leaen

Machine learning books and papers
Machine learning books and papers
24 505
ensemble-machine-learning@netWorkArtificial #book @Machine_learn

Machine learning books and papers
Machine learning books and papers
24 505

Machine learning books and papers
Machine learning books and papers
24 505
hands-unsupervised-learning #book @Machine_learn

Machine learning books and papers
Machine learning books and papers
24 505
Machinelearning for text #book @Machine_learn

Machine learning books and papers
Machine learning books and papers
24 505

Machine learning books and papers
Machine learning books and papers
24 505
@Machine_learn #code #paper Y-Autoencoders: disentangling latent representations via sequential-encoding Article: https://arxiv.org/abs/1907.10949 GitHub: https://github.com/mpatacchiola/Y-AE

Machine learning books and papers
Machine learning books and papers
24 505
@Machine_learn #code #paper FixRes is a simple method for fixing the train-test resolution discrepancy. It can improve the performance of any convolutional neural network architecture. Github: https://github.com/facebookresearch/FixRes Article:https://arxiv.org/abs/1906.06423

Machine learning books and papers
Machine learning books and papers
24 505
@Machine_learn #code #paper FixRes is a simple method for fixing the train-test resolution discrepancy. It can improve the pe
@Machine_learn #code #paper FixRes is a simple method for fixing the train-test resolution discrepancy. It can improve the performance of any convolutional neural network architecture. Github: https://github.com/facebookresearch/FixRes Article:https://arxiv.org/abs/1906.06423

Machine learning books and papers
Machine learning books and papers
24 505
Simple Deep Learning for Programmers Write your own modern neural networks in Keras and Python for images and sequence data #By: The Lazy Programmer #book #DL @Machine_learn

Machine learning books and papers
Machine learning books and papers
24 505
Simple Deep Learning for Programmers Write your own modern neural networks in Keras and Python for images and sequence data #
Simple Deep Learning for Programmers Write your own modern neural networks in Keras and Python for images and sequence data #By: The Lazy Programmer #book #DL @Machine_learn

Machine learning books and papers
Machine learning books and papers
24 505
@Machine_learn __________________________ How to Develop an Information Maximizing GAN (InfoGAN) in Keras https://machinelearningmastery.com/how-to-develop-an-information-maximizing-generative-adversarial-network-infogan-in-keras/

Machine learning books and papers
Machine learning books and papers
24 505
Sentiment Analysis by Capsules∗ #paper #DL #SA @Machine_learn

Machine learning books and papers
Machine learning books and papers
24 505
Sentiment Analysis by Capsules∗ #paper #DL #SA @Machine_learn
Sentiment Analysis by Capsules∗ #paper #DL #SA @Machine_learn