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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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πŸ“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 142 667 subscribers, ranking 813 in the Technologies & Applications category and 86 in the Italy region.

πŸ“Š Audience metrics and dynamics

Since its creation on Π½Π΅Π²Ρ–Π΄ΠΎΠΌΠΎ, the project has demonstrated rapid growth, gathering an audience of 142 667 subscribers.

According to the latest data from 15 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -1 289 over the last 30 days and by -46 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 6.44%. Within the first 24 hours after publication, content typically collects 1.85% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 9 197 views. Within the first day, a publication typically gains 2 646 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 17.
  • Thematic interests: Content is focused on key topics such as sellerflash, github, developer, pricing, waybienad.

πŸ“ Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
β€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...”

Thanks to the high frequency of updates (latest data received on 16 June, 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.

142 667
Subscribers
-4624 hours
-2077 days
-1 28930 days
Posts Archive
deeplearningforcomputervision.pdf51.85 MB

Rajalingappaa Shanmugamani "Deep Learning for Computer Vision" (2018). Highly recommend. #DeepLearning , #Keras , #Tensorflow

30 Free Courses: Neural Networks, Machine Learning, Algorithms, AI

Just another advance of #GAN algorithm family. Pay attention to this video with #BigGAN

Practical Machine Learning with Python (2018).pdf19.39 MB

Book: "Practical Machine Learning with Python" published in 2018 with good content for practical learning by D. Sarkar, R.Bali, T.Sharma

As you know, one of the important event in AI world #NeurIPS2018 (Neural Information Processing Systems) is going in Montreal. Here is you can learn from up-to-date tutorials from scholar of AI world:

Intelligent painting with GAN by directly activating and deactivating sets of neurons in a deep network trained to generate images. Code and Data, Paper, Video and Interactive demo is available.

Artificial Intelligence wiki from skimind ai team. Everything about AI, DL and ML. Great recourse

"Dive into Deep Learning" An interactive deep learning book for students, engineers, and researchers.

Datasets list by categories and description, which we can use for machine learning practices. Article originally written in Japanese language, but I hope in your browser "translate page" extension is turned on and you have no problem. Enjoy with playing with datasets in your research.