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Computer Science and Programming

Computer Science and Programming

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Channel specialized for advanced topics of: * Artificial intelligence, * Machine Learning, * Deep Learning, * Computer Vision, * Data Science * Python Admin: @otchebuch Memes: @memes_programming Ads: @Source_Ads, https://telega.io/c/computer_science

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📈 Analytical overview of Telegram channel Computer Science and Programming

Channel Computer Science and Programming (@computer_science_and_programming) in the English language segment is an active participant. Currently, the community unites 140 423 subscribers, ranking 807 in the Technologies & Applications category and 87 in the Italy region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 140 423 subscribers.

According to the latest data from 03 September, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -761 over the last 30 days and by -31 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 8.10%. Within the first 24 hours after publication, content typically collects 2.12% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 11 368 views. Within the first day, a publication typically gains 2 977 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 15.
  • Thematic interests: Content is focused on key topics such as sellerflash, github, developer, pricing, waybienad.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
Channel specialized for advanced topics of: * Artificial intelligence, * Machine Learning, * Deep Learning, * Computer Vision, * Data Science * Python Admin: @otchebuch Memes: @memes_programming Ads: @Source_Ads, https://telega.io/c/computer_sc...

Thanks to the high frequency of updates (latest data received on 04 September, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Technologies & Applications category.

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140 423
Subscribers
-3124 hours
-2417 days
-76130 days
Posts Archive
The 9 Deep Learning Papers You Need To Know About

Object Detection for Self Driving Cars

Speech and Language Processing (3rd ed. draft) Dan Jurafsky and James H. Martin Draft chapters in progress, Sep 23, 2018

A Guide to using Logistic Regression for Digit Recognition (with Python codes)

Python Machine Learning (en).pdf10.79 MB

"Python Machine Learning" : Machine Learning and Deep Learning with Python, scikit-learn and Tensorflow. by Sebastian Raschka & Vahid Mirjalili (2017)

Convolutional Neural Network – In a Nut Shell

Python for Computer Vision - Revision 2nd Edition

YOLO Vs. SSD: Choice of a Precise Object Detection Method

Deep Learning based Object Detection using YOLOv3 with OpenCV ( Python / C++ )

25 Open Datasets for Deep Learning Every Data Scientist Must Work With