Computer Science and Programming

Open in Telegram

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

Network:Computer Science and Programming Italy87 Technologies & Applications816...

📈 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 142 737 subscribers, ranking 816 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 142 737 subscribers.

According to the latest data from 14 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -1 292 over the last 30 days and by -44 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 6.29%. Within the first 24 hours after publication, content typically collects 1.82% reactions from the total number of subscribers.
Post reach: On average, each post receives 8 976 views. Within the first day, a publication typically gains 2 595 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.

📝 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 15 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.

142 737

Subscribers

-4424 hours

-2007 days

-1 29230 days

8 976

Post views

~ 2 59524 hours

~ 3 64748 hours

6.29%

Engagement rate

~ 1

Posts per day

Ads index

beta

Posts Archive

142 711

Paper link: https://arxiv.org/pdf/1904.02689.pdf Github repo: https://github.com/dbolya/yolact

142 711

YOLACT (You Only Look At CoefficienTs) - Real-time Instance Segmentation Results are impressive, above 30 FPS on COCO test-dev

142 711

However, great resource from data-flair team and there are waiting you 240+ Python Tutorials from scratch (under advanced, intermediate, beginner categories): https://data-flair.training/blogs/python-tutorials-home/ and you'll also follow their telegram channels for fresh news from original source: https://t.me/dataflair

142 711

⚠ Message was hidden by channel owner

142 711

These Projects will make you the Super Hero of Python: https://medium.com/dataflair/these-projects-will-make-you-the-superhero-of-python-city-14101e62393b

142 711

Happy new year. I would like to share channel's progress for 2019 and we have +29 874 new members for this year. Thank you for all members of channel.

142 711

⚠ Message was hidden by channel owner

142 711

Due to your interest and some specific points, you will read about in more detail from the report: https://hai.stanford.edu/sites/g/files/sbiybj10986/f/ai_index_2019_report.pdf?fbclid=IwAR228NxD7QCdksNYkSPZ2vcpm5Jzk5zCGx9v0NpsAkQVOspv85MvG3LK3wE

142 711

2019 is also finishing with great achievements in AI field. Thanks to the extended report from 'artificial intelligence index' which I highlighted more specific ones (Of cource is just my choise only): 👉 AI Research went crazy. Between 1998 and 2018, there’s been a 300% increase in the publication of peer-reviewed papers on AI. 👉 Attendance at conferences went crazy too, for eg. NeurIPS, got some 13,500 attendees this year, up 800% from 2012. 👉 Education too bumped up, a lot of folks took up MSc / PhD with something in Machine Learning 👉 USA still leads in AI, no matter what other countries say 👉 AI algorithms are becoming cheaper and mainstream 👉 self driving vehicles market is coming of age and raking in a lot of investments

142 711

Here is the pre-reading material is mentioned from organizers: http://montreal.ai/aidebate.pdf And you can also submit your questions by following link: https://montrealartificialintelligence.com/aidebate/?fbclid=IwAR0apri8P3UENmgGhRxeg5k022wh25ynFj7fnJ0OOEd7Kw_vh_6XRfkZA-s Live streaming: https://www.eventbrite.ca/e/debate-yoshua-bengio-gary-marcus-live-streaming-tickets-81620778947?fbclid=IwAR2MG35fVKQvxSXQc4DYXn-q9bVEwmfrqfT98m9IuF1gCgEHGRCx0k0ftmc

142 711

I think, every AI lovers are waiting for AI debate: Yoshua Bengio and Gary Marcus, which a decade that has revived the field of AI

142 711

https://github.com/BMW-InnovationLab?fbclid=IwAR34Mob2EPacL61j9JUElk5Ewv2COlxpDKxE3FdTJqpWMx31KfdA0iUtwf4

142 711

BMW shares AI algorithms used in production, available on GitHub

142 711

https://medium.com/artificial-intelligence-solutions/so-is-your-algorithm-not-working-aa8e4ebd2066?

142 711

Things you need to consider about your algorithm is working or not

142 711

https://www.marktechpost.com/free-resources/?fbclid=IwAR3gRM5OyBnNlYmQLZqQHZTUsh3tCI0bshZXvgxbV90Na5-YLSuHLe4sPOE

142 711

Free AI Resources Find The Most Updated and Free Artificial Intelligence, Machine Learning, Data Science, Deep Learning, Mathematics, Python Programming Resources. (Last Update: December 4, 2019)

142 711

RoboNet Project page: https://www.robonet.wiki/

142 711

Github: https://github.com/SudeepDasari/RoboNet Paper link: https://arxiv.org/abs/1910.11215 Blog: https://blog.ml.cmu.edu/2019/11/26/robonet/?fbclid=IwAR3PtmaSmMPcYuXrJfhaRmykgiMsRHshbJ7pWqBRO-2VcH2IsCSBdvGtkt0

142 711

RoboNet: A Dataset for Large-Scale Multi-Robot Learning (15 million video frames, 7 Robot platform).