Channels like @Machine_learn
What Telegram recommends beside Machine learning books and papers, ranked by size and shown with the numbers Telegram leaves out.
Measured in week 38 of 2026, on 14 Sept 2026, from public Telegram data
Recommended alongside
| Channel | Name | Subscribers | 14 days | Topic |
|---|---|---|---|---|
 @datasciencefun | Data Science & Machine Learning | 77,463 | +0.09% | AI and machine learning |
 @CodeProgrammer | Machine Learning with Python | 68,307 | +0.20% | Programming |
 @Python53 | Python Courses & Resources | 50,707 | +0.41% | Programming |
 @MachineLearning9 | Machine Learning | 41,292 | +0.44% | Programming |
 @pythonRe | Learn Python Coding | 40,365 | +0.43% | Programming |
 @PaperNexus | AI & ML Papers | 33,859 | +0.55% | Programming |
 @DataAnalyticsX | Data Analytics | 30,202 | +0.77% | Programming |
 @AI_DeepMind | DeepMind AI Expert | 15,589 | +0.22% | AI and machine learning |
 @cvision | Tensorflow(@CVision) | 15,121 | +0.07% | AI and machine learning |
 @schoolofai | School of AI | 11,178 | +0.55% | AI and machine learning |
This list comes from Telegram's own recommendation graph. The subscriber counts, growth and topics are ours — Telegram shows the names and stops there.
The reverse
2 channels in the index have @Machine_learn in their own recommendation list. That direction is not something Telegram publishes — see the channel page for the full list.
Build this yourself
One call returns the recommendation list for any public channel. The counts and growth come from asking for each channel in turn.
curl --request GET \
--url 'https://telegram155.p.rapidapi.com/v1/channels/recommendations?peer_id=1304758333' \
--header 'x-rapidapi-host: telegram155.p.rapidapi.com' \
--header 'x-rapidapi-key: YOUR_KEY'The recommendation graph for any public channel
2,500 calls a month, no card. No bot token and no phone number.