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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 140 400 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 140 400 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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140 400
Subscribers
-3124 hours
-2417 days
-76130 days
Posts Archive
7 steps to mastering Deep learning with Keras:

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Both calculations and graphs at once from autodesk researchers. Here is a link with dataset and code. Paper also avaliable for more detail

Python Machine Learning Case Studies.pdf7.95 MB

How to train Keras model x20 times faster with TPU for free

Just Excellent visualization about human population of the world

AUTOML: METHODS, SYSTEMS, CHALLENGES (NEW BOOK). All chapters are avaliable

Practical Text Classification With Python and Keras

Detecting objects in videos and camera feeds using Keras, OpenCV, and ImageAI