en
Feedback
Computer Science and Programming

Computer Science and Programming

Open in Telegram

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

Show more

πŸ“ˆ 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 142 638 subscribers, ranking 813 in the Technologies & Applications category and 86 in the Italy region.

πŸ“Š Audience metrics and dynamics

Since its creation on Π½Π΅Π²Ρ–Π΄ΠΎΠΌΠΎ, the project has demonstrated rapid growth, gathering an audience of 142 638 subscribers.

According to the latest data from 16 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -1 278 over the last 30 days and by -73 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 6.00%. Within the first 24 hours after publication, content typically collects 1.82% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 8 559 views. Within the first day, a publication typically gains 2 599 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 17.
  • Thematic interests: Content is focused on key topics such as sellerflash, github, developer, pricing, waybienad.

πŸ“ Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
β€œChannel 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 17 June, 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.

142 638
Subscribers
-7324 hours
-2547 days
-1 27830 days
Posts Archive
The 50 Best Public Datasets for Machine Learning (2nd, oct, 2018 ):

Designing Machine Learning Systems with Python (en).pdf2.09 MB

Designing Machine Learning Systems with Python by David Julian

Understanding Hinton’s Capsule Networks by Max Pechyonkin

MIT Human-Centered Autonomous Vehicle

Common architectures in convolutional neural networks:

50+ Data Structure and Algorithms Interview Questions for Programmers

Convolutional Neural Networks for Visual Recognition Lecture material from Stanford University:

Ultimate Guide to Getting Started with TensorFlow

Deep Learning with TensorFlow Playground

The Neural Network Backpropagation #algorithm in one picture: