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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 140 414 subscribers, ranking 811 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 140 414 subscribers.

According to the latest data from 02 September, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -753 over the last 30 days and by -1 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 8.00%. Within the first 24 hours after publication, content typically collects 2.00% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 11 237 views. Within the first day, a publication typically gains 2 812 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 14.
  • 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 03 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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140 414
Subscribers
-124 hours
-2397 days
-75330 days
Posts Archive
Impractical Python Project.pdf24.87 MB

Impractical PythonProjects by Lee Vaughan 2018

What Kagglers are mostly using for Text Classification?

This is a super cool resource: Papers With Code now includes 950+ ML tasks, 500+ evaluation tables (including SOTA results) and 8500+ papers with code. Probably the largest collection of NLP tasks I've seen including 140+ tasks and 100 datasets.

Prediction based algorithms in infographics. Type, name, description, advantages and disadvantages
Prediction based algorithms in infographics. Type, name, description, advantages and disadvantages

Ultimate learning path of Deep Learning for 2019 in infographics. Image credited from Analytics Vidhya

Must-read tutorial to learn sequence modeling from 'Analytics Vidhya' team and detailed explanation by real examples

This week in Machine Learning and AI. Shows, Series, Ebooks, Meetup, Community Programs... Extremely organized and detail-oriented. Keep up trends of #ML, #AI

This picture is made of 195 billion pixels and all of the pixels are incredible and clear detail. Typical phone camera snaps 12-megapixel photos(12 million pixel). Just another advance of Computer Science. It also opens new challenges and research areas in the fields of #AI, #ML, #DL, #CV. Thanks for Seeker and BigPixel Studios for creat video

What goes on in the mind of BERT? Using an interactive visualization tool, we uncovered some surprisingly intuitive patterns.

Python 3 Object Oriented Programming series by Leaonardo Giordani. Important implementation concepts and boost your programmi
Python 3 Object Oriented Programming series by Leaonardo Giordani. Important implementation concepts and boost your programming skills by practising

The world’s easiest introduction to Machine Learning by Adam Geitgey. Covered every applications of Machine Learning and tran
The world’s easiest introduction to Machine Learning by Adam Geitgey. Covered every applications of Machine Learning and translated version also avialable in several languages. Enjoy and boost your knowledge