Machine Learning World
The best of Machine Learning World @devs_world - the best materials for developers Our fund instagram to help homeless animals: https://www.instagram.com/ukraineanimalhelp/ Contacts: @anikishaev | creotiv@gmail.com
Show more📈 Analytical overview of Telegram channel Machine Learning World
Channel Machine Learning World (@ml_world) in the English language segment is an active participant. Currently, the community unites 11 212 subscribers, ranking 10 734 in the Technologies & Applications category and 5 258 in the Ukraine region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 11 212 subscribers.
According to the latest data from 26 August, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -112 over the last 30 days and by 2 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 4.29%. Within the first 24 hours after publication, content typically collects 1.50% reactions from the total number of subscribers.
- Post reach: On average, each post receives 481 views. Within the first day, a publication typically gains 168 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 2.
- Thematic interests: Content is focused on key topics such as andevhowto, gpt-4, архитектура, зібрати, even.
📝 Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
“The best of Machine Learning World
@devs_world - the best materials for developers
Our fund instagram to help homeless animals: https://www.instagram.com/ukraineanimalhelp/
Contacts: @anikishaev | creotiv@gmail.com”
Thanks to the high frequency of updates (latest data received on 27 August, 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.
