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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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šŸ“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 140 395 subscribers, ranking 811 in the Technologies & Applications category and 87 in the Italy region.

šŸ“Š Audience metrics and dynamics

Since its creation on невіГомо, the project has demonstrated rapid growth, gathering an audience of 140 395 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.

šŸ“ Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
ā€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...ā€

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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140 395
Subscribers
-124 hours
-2397 days
-75330 days
Posts Archive
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

Comprehensive Deep learning education from MIT by Lex Fridman. New lectures started from January of this year. Videos and Sli
Comprehensive Deep learning education from MIT by Lex Fridman. New lectures started from January of this year. Videos and Slides are available.

Deep learning in one medium: combining Code, Math and HTML. Open source book for everyone
Deep learning in one medium: combining Code, Math and HTML. Open source book for everyone

Do you want journey to top exhebition during the weekend(Virtually). Enjoy with up-to-date technologies and innovation from #CES2019 (Consumer Electronics Show). Videos, interview from innovators and top companies.

Deep Learning course: lecture slides and lab notebooks from Master Datascience Paris Saclay with a focus on applications

Machine Learning Cheatsheet. Brief visual explanations of machine learning concepts with diagrams, code examples and links to resources for learning more.

Papers with codes, which published in top conferences and sorted by stars. Read the paper and play with code. This repository is continuous progress and weekly update

NLP_2018_Highlights.pdf2.96 MB

NLP 2018 Highlights By Elvis Saravia. Summary of all the biggest NLP stories, state-of-the-art results and new interesting research directions of the year coming from both academia and the industry

A Comprehensive Hands-on Guide to Transfer Learning with Real-World Applications in DeepĀ Learning

Wonderfully interactive, gentle, and well done introduction to probability and statistics. Walk through this with your favorite kid and give them a head-start in life on ML https://seeing-theory.brown.edu/basic-probability/index.html