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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
Widely cited and useful papers related to machine learning and deep learning form Tirthajyoti Sarkar

"Computer program looks five minutes into the future" with success from University Bonn:

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