Computer Science and Programming

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Channel for who have a passion for - * Artificial Intelligence * Machine Learning * Deep Learning * Data Science * Computer vision * Image Processing * Research Papers * Related Courses and Ebooks With advertising offers contact:

India29 532 Tecnologías y Aplicaciones8 736...

📈 Análisis del canal de Telegram Computer Science and Programming

El canal Computer Science and Programming (@machinelearning_programming) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 14 843 suscriptores, ocupando la posición 8 736 en la categoría Tecnologías y Aplicaciones y el puesto 29 532 en la región India.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 14 843 suscriptores.

Según los últimos datos del 04 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de -152, y en las últimas 24 horas de -7, conservando un alto alcance.

Estado de verificación: No verificado
Tasa de interacción (ER): El promedio de interacción de la audiencia es 14.63%. Durante las primeras 24 horas tras publicar, el contenido suele obtener N/A% de reacciones respecto al total de suscriptores.
Alcance de las publicaciones: Cada publicación recibe en promedio 0 visualizaciones. En el primer día suele acumular 0 visualizaciones.
Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 0.
Intereses temáticos: El contenido se centra en temas clave como learning, github, engineer, quantization, detection.

📝 Descripción y política de contenido

El autor describe el recurso como un espacio para expresar opiniones subjetivas:
“Channel for who have a passion for - * Artificial Intelligence * Machine Learning * Deep Learning * Data Science * Computer vision * Image Processing * Research Papers * Related Courses and Ebooks With advertising offers contact:”

Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 05 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 Tecnologías y Aplicaciones.

14 843

Suscriptores

-724 horas

-277 días

-15230 días

2 173

Visitas de la publicación

Sin datos24 horas

Sin datos48 horas

14.63%

Tasa de compromiso

Sin datos

Mensajes por día

Ads index

beta

Archivo de publicaciones

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MediaPipe Face Mesh https://google.github.io/mediapipe/solutions/face_mesh.html @MachineLearning_Programming @deeplearning_ai

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MediaPipe Face Mesh https://google.github.io/mediapipe/solutions/face_mesh.html deeplearning_ai

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MediaPipe Face Mesh @MachineLearning_Programming

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MediaPipe Face Mesh @deeplearning_ai

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Deploy your PyTorch model to Production This tutorial aims to teach you how to deploy your recently trained model in PyTorch as an API using Python. https://www.kdnuggets.com/2019/03/deploy-pytorch-model-production.html @MachineLearning_Programming

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MoveNet : Pose Estimation for Video with Intense Motion @deeplearning_ai

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MoveNet : Pose Estimation for Video with Intense Motion https://medium.com/axinc-ai/movenet-pose-estimation-for-video-with-intense-motion-2b92f53f3c8 @MachineLearning_Programming

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Lane Detection With OpenCV (Part 1) 1. Intro 2. Thresholding 3. Perspective Correction 4. Warping https://dzone.com/articles/lane-detection-with-opencv @MachineLearning_Programming

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Top Universities Offering Free Online Programming Courses https://www.naukri.com/learning/articles/top-universities-offering-free-online-courses-for-programmers/ @deeplearning_ai .

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Top Universities Offering Free Online Programming Courses Here’s the list of the top universities offering free online programming courses: Harvard University Massachusetts Institute of Technology (MIT) IIT Bombay University of Illinois Hong Kong University of Science and Technology University of Michigan IIT Kanpur @deeplearning_ai

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Hey if you are interested in learning data science, machine learning, deep learning or Big data. You will also get to know how to do career transition to data science field. In this telegram group, you will get daily practice quizzes on interview questions, study materials, cheatsheets, blogs, books for free. Here is the telegram group that you can join https://t.me/dataspoof

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Swin Transformer for Object Detection PAPER: Swin Transformer: Hierarchical Vision Transformer using Shifted Windows VIDEO: https://www.youtube.com/watch?v=FQVS_0Bja6o CODE: https://github.com/SwinTransformer/Swin-Transformer-Object-Detection @deeplearning_ai

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Free Hands-on Demo Session organized by Management Career Institute Topic: Application of AI in price prediction. Deliverables: -Basic of data handling part. -Introducing to forecasting models. -Introducing Deep learning based forecast. -Explaining detailed architecture of the DL model. -Implementing live on real time dataset. Duration - 2 hours Date - Thursday | 29th July Time - 6.30 PM IST (Evening Slot) Live Hands-on Session Get Register Now: https://forms.gle/fkRv6dJnymew6sk6A Who will be Instructor? Instructor is Lead of Automation (Data Science & Artificial Intelligence) at Wipro. He has solved 60+ Research use cases, published 45+ Patents (received 23 grants) across various countries. He is also a Member of Advisory council at India ka AI.

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YOLOX: Exceeding YOLO Series in 2021 Anchor-free version of YOLO series Won the 1st Place on Streaming Perception Challenge (Workshop on Autonomous Driving at CVPR 2021) t.me/deeplearning_ai

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Woww! This is really awesome!! A new course to learn the fundamentals of Deep Learning with PyTorch by Microsoft 🔥🔥. https://t.me/DeepLearning_ai

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Removing Duplicate or Similar Images in Python https://towardsdatascience.com/removing-duplicate-or-similar-images-in-python-93d447c1c3eb https://t.me/MachineLearning_Programming

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💡AI Workshop: Bring Your Use Case Ideas to Life 💡 👍In this online workshop, we present how you can use AI services and start prototyping in minutes. 👍We cover some of the most popular AI verticals such as Computer Vision and Natural Language Processing. After this workshop, you will know: 1. What is AI as a Service, and how does it work? 2. What are Computer Vision, NLP, and Speech? 3. How can you prototype your AI products before actual implementation? Requirements: ✅ Free Registration ✅ Basic Python knowledge 👉16 July, 17:00 - 18:00 CET👈 https://www.linkedin.com/events/6814928657631473664/

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Text-to-Speech Synthesis: an Overview | by Sciforce | Sciforce | Medium https://medium.com/sciforce/text-to-speech-synthesis-an-overview-641c18fcd35f

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https://coursecatalog.us/ t.me/deeplearning_ai