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Computer Science and Programming

Computer Science and Programming

الذهاب إلى القناة على Telegram

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:

إظهار المزيد

📈 نظرة تحليلية على قناة تيليجرام Computer Science and Programming

تُعد قناة Computer Science and Programming (@machinelearning_programming) في القطاع اللغوي الإنكليزية لاعباً نشطاً. يضم المجتمع حالياً 14 843 مشتركاً، محتلاً المرتبة 8 736 في فئة التكنولوجيات والتطبيقات والمرتبة 29 532 في منطقة الهند.

📊 مؤشرات الجمهور والحراك

منذ تأسيسه في невідомо، حقق المشروع نمواً سريعاً وجمع 14 843 مشتركاً.

بحسب آخر البيانات بتاريخ 04 يونيو, 2026، تحافظ القناة على نشاط مستقر. خلال آخر 30 يوماً تغيّر عدد الأعضاء بمقدار -152، وفي آخر 24 ساعة بمقدار -7، مع بقاء الوصول العام مرتفعاً.

  • حالة التحقق: غير موثّقة
  • معدل التفاعل (ER): يبلغ متوسط تفاعل الجمهور 14.63‎%. وخلال أول 24 ساعة من النشر يحصد المحتوى عادةً N/A‎% من ردود الفعل نسبةً إلى إجمالي المشتركين.
  • وصول المنشورات: يحصل كل منشور على متوسط 0 مشاهدة. وخلال اليوم الأول يجمع عادةً 0 مشاهدة.
  • التفاعلات والاستجابة: يتفاعل الجمهور بانتظام؛ متوسط التفاعلات لكل منشور يبلغ 0.
  • الاهتمامات الموضوعية: يركز المحتوى على مواضيع رئيسية مثل learning, github, engineer, quantization, detection.

📝 الوصف وسياسة المحتوى

يصف المؤلف القناة بأنها مساحة للتعبير عن الآراء الذاتية:
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:

بفضل وتيرة التحديث المرتفعة (أحدث البيانات بتاريخ 05 يونيو, 2026) تحافظ القناة على حداثتها ومستوى وصول مرتفع. وتُظهر التحليلات تفاعلاً نشطاً من الجمهور، ما يجعلها نقطة تأثير مهمة ضمن فئة التكنولوجيات والتطبيقات.

14 843
المشتركون
-724 ساعات
-277 أيام
-15230 أيام
أرشيف المشاركات

MediaPipe Face Mesh @MachineLearning_Programming

MediaPipe Face Mesh @deeplearning_ai

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

MoveNet : Pose Estimation for Video with Intense Motion @deeplearning_ai

Lane Detection With OpenCV (Part 1) 1. Intro 2. Thresholding 3. Perspective Correction 4. Warping https://dzone.com/articles/
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

Top Universities Offering Free Online Programming Courses Here’s the list of the top universities offering free online progra
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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

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

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

Free Hands-on Demo Session organized by Management Career Institute Topic: Application of AI in price prediction. Deliverable
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.

YOLOX: Exceeding YOLO Series in 2021 Anchor-free version of YOLO series Won the 1st Place on Streaming Perception Challenge (
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

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

💡AI Workshop: Bring Your Use Case Ideas to Life 💡 👍In this online workshop, we present how you can use AI services and sta
💡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