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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 138 786 subscribers, ranking 819 in the Technologies & Applications category and 89 in the Italy region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 138 786 subscribers.

According to the latest data from 05 November, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -870 over the last 30 days and by -12 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 5.47%. Within the first 24 hours after publication, content typically collects 1.66% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 7 585 views. Within the first day, a publication typically gains 2 310 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 06 November, 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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138 786
Subscribers
-1224 hours
-2397 days
-87030 days
Posts Archive
Top 200 deep learning Github repositories sorted by the number of stars:

Learning a Shared Shape Space for Multimodal Garment Design (Availble codes, paper, dataset and video )

Large Collection of Neural Nets, Numpy, Pandas, Matplotlib, Scikit and ML Cheat Sheets

is shortened version : https://bit.ly/2OYU8IX

ARTIFICIAL INTELLIGENCE: IMPLICATIONS FOR BUSINESS STRATEGY ONLINE SHORT COURSE from MIT

140 Machine Learning formulas from Rubens Zimbres

Introducing Jupytext. Really good helper with our code

"Mathematics for Machine Learning" by Marc Peter Deisebroth, A Aldo Faisal and Chest Soon Ong. Companion webpage to the book

Excellent and very detailed explanation each steps of CNN

Thanks for all subscribers and advanced Computer Science lovers, we are still growing (now we are more than 2k). Posting piece portion of knowledge every day and provide it to you is our goal. Thank you all for being with us. If you feel this channel is useful for someone around your community Please, share and invite them. Thank you for all subscribers

Generative Neural Machine Translation

25 Open-Source Machine Learning Repos to Inspire Your Next Project: