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Channel

Machinelearning

@ai_machinelearning_big_data

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Advertising · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cite this entry

278,381subscribers

-9,018 since we began measuring on 5 August 2026

Risers and fallers across the register · movement among entries of 100,000–316,228.

Register entry

Telegram ID-1001114591086
TypeChannel
Username@ai_machinelearning_big_data
DescriptionПогружаемся в машинное обучение и Data Science Показываем как запускать любые LLm на пальцах. По всем вопросам - @haarrp @itchannels_telegram -🔥best channels Реестр РКН: clck.ru/3Fmqri
Created15 March 2017 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live4 October 2026
Measurements held37
Confirmed unchanged1 time, most recently 4 October 2026
On Telegramt.me/ai_machinelearning_big_data

Topic

Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 8 August 2026 and assigned it the closest of 31 fixed categories, at 100% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.

Growth

278,381287,399282,8905 August 2026 — 287,399 subscribers6 August 2026 — 287,399 subscribers6 August 2026 — 287,374 subscribers7 August 2026 — 287,225 subscribers8 August 2026 — 287,035 subscribers9 August 2026 — 286,841 subscribers10 August 2026 — 286,672 subscribers11 August 2026 — 286,448 subscribers12 August 2026 — 286,250 subscribers13 August 2026 — 285,981 subscribers14 August 2026 — 285,710 subscribers16 August 2026 — 285,509 subscribers17 August 2026 — 285,314 subscribers18 August 2026 — 285,103 subscribers19 August 2026 — 284,998 subscribers20 August 2026 — 284,856 subscribers21 August 2026 — 284,672 subscribers22 August 2026 — 284,523 subscribers24 August 2026 — 284,311 subscribers25 August 2026 — 284,187 subscribers26 August 2026 — 283,969 subscribers27 August 2026 — 283,801 subscribers28 August 2026 — 283,580 subscribers29 August 2026 — 283,437 subscribers30 August 2026 — 283,257 subscribers31 August 2026 — 283,101 subscribers1 September 2026 — 282,991 subscribers2 September 2026 — 282,910 subscribers3 September 2026 — 282,707 subscribers5 September 2026 — 282,429 subscribers9 September 2026 — 281,893 subscribers11 September 2026 — 281,478 subscribers13 September 2026 — 281,201 subscribers15 September 2026 — 280,944 subscribers17 September 2026 — 280,660 subscribers26 September 2026 — 279,417 subscribers4 October 2026 — 278,381 subscribers5 August 20264 October 2026
37 measurements spanning 60 days, net -9,018. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 277,028–288,752 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 37
Measured (UTC)SubscribersChange
4 Oct 2026, 12:59278,381-1,036
26 Sept 2026, 03:16279,417-1,243
17 Sept 2026, 06:58280,660-284
15 Sept 2026, 04:56280,944-257
13 Sept 2026, 13:18281,201-277
11 Sept 2026, 16:16281,478-415
9 Sept 2026, 05:21281,893-536
5 Sept 2026, 19:15282,429-278
3 Sept 2026, 17:18282,707-203
2 Sept 2026, 08:24282,910-81
1 Sept 2026, 09:06282,991-110
31 Aug 2026, 10:07283,101-156
30 Aug 2026, 10:19283,257-180
29 Aug 2026, 08:35283,437-143
28 Aug 2026, 11:13283,580-221
27 Aug 2026, 09:27283,801-168
26 Aug 2026, 09:55283,969-218
25 Aug 2026, 10:48284,187-124
24 Aug 2026, 12:34284,311-212
22 Aug 2026, 20:12284,523first reading

Engagement

321 posts held, back to 3 August 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 129 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
6.85%
avg views ÷ 278,381 subscribers
Avg views / post
19,100
167 posts measured
Reaction rate
0.822%
reactions ÷ views · ER floor
Posts in window
167
of 321 held

ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.

ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.

What these figures were computed from
WindowRolling 30 days · latest post in window 6 October 2026
Posts held321 (3 August 2026 – 6 October 2026)
Views total3,184,400
Reactions total26,170
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Oct 2026, 11:08 UTC

Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.

Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.

Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.

What this channel posts

Photos
≈5,500
Videos
≈1,290
Links
≈5,840

Lifetime counters from Telegram’s own channel header, read 6 October 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
3h 43m
Average length
2m 44s

Measured directly from 82 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.

Reaction mix

49,282 reactions across 316 posts, in 60 distinct kinds. The most used accounts for 28.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍13,91028.2%
🔥6,77713.8%
❤6,55713.3%
🤔4,8269.79%
👏2,7585.60%
😁2,3434.75%
🤣1,7403.53%
🎉1,5113.07%
🤩1,2872.61%
⚡1,0862.20%
👨‍💻9852.00%
🤓9331.89%
💯5951.21%
🤬5581.13%
👌4390.891%
🤨4100.832%
😢3590.728%
🤗2430.493%
🥱2310.469%
😐1930.392%
40 further kinds1,5413.13%

No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.

Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.

Coverage. Reactions were read on 321 of the 321 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 50,000 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 321 most recent posts we hold, published 3 August 2026 to 6 October 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Telegram Stars

Stars received
58
across the posts below
Posts paid on
34
of 321 we hold a reading for · 11%
Most on one post
11
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @ai_machinelearning_big_data. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 321 most recent posts we hold for this entry, published 3 August 2026 to 6 October 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Advertising

Ad load
4.67%
15 of 321 posts carry an ad marker
Regulatory tokens
15
posts carrying an erid · 15 distinct tokens
Median views · ads
17,800
over 15 measured posts
Median views · rest
19,300
over 306 measured posts

An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.

This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.

Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. They are printed side by side with the count behind each rather than as a ratio: an ad and an ordinary post are not otherwise matched — for topic, for length, for hour of day — so the gap between them is a description of two groups and not the effect of one being an ad.

Advertising tokens recorded on this entry
eridPostsFirst seenLast seen
2SDnjd36qgF111 August 202611 August 2026
2SDnjf3hPDV130 September 202630 September 2026
2VSb5ybG7Cv123 September 202623 September 2026
2VfnxxSVyCQ130 September 202630 September 2026
2Vtzqv48qtp114 September 202614 September 2026
2VtzqvGyx6w14 September 20264 September 2026
2Vtzqw727Ws127 August 202627 August 2026
2Vtzqwno39C17 August 20267 August 2026
2W5zFG5D5TF128 September 202628 September 2026
2W5zFGjiQiM117 September 202617 September 2026
2W5zFH1WNRP17 September 20267 September 2026
2W5zFJZtwNH122 September 202622 September 2026

A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it. 3 further tokens are held for this entry and not listed here.

Measured over the 321 most recent posts we hold, published 3 August 2026 to 6 October 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.

Recent posts

6 Oct 2026, 08:10 UTC≈9,300 views35 reactionsread 6 October 2026
Photo

⚡️ ElevenLabs запустила конкурс генеративной рекламы с фондом $100 000 Участники должны создать видеоролик для вымышленного продукта. Главное требование - генерация оригинального джингла исключительно средствами платформы ElevenCreative. Для синтеза видео, графики и дополнительных звуковых эффектов разрешено использовать сторонние решения, но жюри обещает начислять бонусные баллы за максимальное применение инструме…

❤18👍6🔥5😁4🎉1🤬1

6 Oct 2026, 06:20 UTC≈13,700 views106 reactionsread 6 October 2026
Photo

✔️ Anthropic передала полиции логи чата с угрозами Жительница Флориды была задержана после того, как автоматические фильтры безопасности Anthropic зафиксировали в ее запросах намерения устроить стрельбу в местном офисе шерифа и упоминание покупки оружия. Алгоритмы мониторинга выявили триггерные конструкции и эскалировали сессию на внутреннюю команду ручной проверки Safeguards Team. Та, руководствуясь регламентом к…

👍48😁20🤬12🤔11❤7🍾2👏2🎉1

5 Oct 2026, 11:37 UTC≈18,900 views310 reactionsread 6 October 2026
Photo

🏅 Нобелевку по медицине дали за то, что нейроны научились включать светом Премию по физиологии и медицине 2026 года получили Карл Дейссерот, Петер Хегеманн и Георг Нагель за светочувствительные ионные каналы и создание оптогенетики. Всё началось с водорослей. Хегеманн и Нагель изучали, как одноклеточная водоросль Chlamydomonas реагирует на свет, и в начале 2000-х нашли у неё каналродопсины, белки-каналы, которые от…

👍121👏91❤27🤓20🔥19🎉13😇7🤔6

5 Oct 2026, 08:31 UTC≈22,900 views271 reactionsread 6 October 2026
Photo

✔️ Китайские инженеры разработали неинвазивный нейроинтерфейс весом 3 грамма Исследователи Тяньцзиньского университета представили неинвазивную ЭЭГ-систему Shen Gong Xumi Brain Cube. При объеме 2 см³ устройство весит 3 грамма. Датчик крепится к коже головы под волосами, заменяя стандартные ЭЭГ-шапочки с проводами. Внутри корпуса размещены массив электродов, цепи фильтрации и оцифровки биопотенциалов, аккумулятор и …

👍120🤔74🔥29👏17❤15💯6😁5🤬3

4 Oct 2026, 10:14 UTC≈20,500 views108 reactionsread 6 October 2026
Video

✔️ Runway показала генеративную оболочку ОС Исследовательское подразделение Runway анонсировало концепт Project Continuum, экспериментальную оболочку операционной системы. Отдельные области экрана в ней генерирует видеомодель в реальном времени, и они откликаются на клики, перетаскивание и изменение размера окна. 🟡Runway показала четыре сценария Порталы – анимированные вставки поверх просматриваемой страницы с на…

👍65🔥11❤7🤣7🥱6🤔5🥰2😁2

3 Oct 2026, 12:10 UTC≈20,000 views149 reactionsread 6 October 2026
Video

✔️ Anthropic открыла моды для Claude Code Моды – небольшие функции на TypeScript, меняющие работу ассистента в CLI и десктопном приложении. Там, где хуки лишь получали управление по событию, мод перехватывает его и переписывает: подменяет промпт до отправки модели, блокирует или перезапускает вызов инструмента, разрешает или отклоняет запрос доступа, вырезает секреты из вывода, меняет элементы интерфейса, добавляет…

👨‍💻62👍32🔥30❤10💯7🎉6👏2

3 Oct 2026, 07:15 UTC≈21,800 views227 reactionsread 6 October 2026
Photo

⚡️ OpenAI обнулила лимиты платных аккаунтов ChatGPT Главный по ресетам в OpenAI сообщил, что лимиты использования на всех платных аккаунтах ChatGPT обнулились 2 октября в 20:00 по Москве. Так компания извинилась за медленный старт GPT-6.1 Sol - в первые два дня после выхода модель тормозила из-за резкого наплыва запросов, а теперь, по словам Тибо, снова работает с ожидаемой скоростью. @ai_machinelearning_big_data…

🔥144⚡42❤15🎉7👏7😁5👍4👌1

2 Oct 2026, 15:15 UTC≈21,800 views261 reactionsread 6 October 2026
Photo

⚡️ Одна и та же модель набирает 62% в одном агентном харнессе и 33% в другом. Hugging Face показали, как это исправить через RL Команда Hugging Face выложила подробный гайд по multi-harness RL. Сами харнессы при этом не трогают. Модель подключают к прокси, который понимает все четыре API-формата coding-агентов: OpenAI Chat Completions, OpenAI Responses, Anthropic Messages и Gemini. Прокси записывает точные token ids…

⚡104🔥93👏24❤19🤔10👍6🤓5

2 Oct 2026, 12:11 UTC≈19,600 views108 reactions1 Starread 6 October 2026
Video

✔️ OpenAI заблокировала атаку дистилляции скрытых CoT своих моделей Компания пресекла кампанию по состязательной дистилляции, направленную на извлечение скрытых цепочек рассуждений. Ключевой кластер активности компания связала с Moonshot AI. В атаке участвовало 4 тысячи учетных записей, всего было сделано 16 тысяч запросов. Шифрование злоумышленники не вскрывали, в сохранённые диалоги не проникали – операторы копир…

👍75❤16🤔9🔥3💯2😁2👏1

2 Oct 2026, 10:10 UTC≈19,500 views211 reactionsread 6 October 2026
Photo

🌟 Cloudflare выпустила открытые модели решений Clef Обе модели, Clef и Clef-flash, вышли с открытыми весами и сразу появились в облачной платформе компании Workers AI. Такие модели не пишут текст, а возвращают вероятности вариантов на типизированные вопросы, по которым агент или программа выбирает следующее действие. Clef построена на Qwen3.8-27B, Clef-flash – на Qwen3.5-9B. Обе принимают текст, JSON, изображения …

🎉101👍32❤27🤩19👏11🔥10💯5😁5

2 Oct 2026, 09:03 UTC≈17,800 views181 reactionsread 6 October 2026
Photo

✔️ ВКонтакте научила Ленту отличать интерес к контенту от намерения купить Инженеры AI VK построили отдельный контур товарных рекомендаций внутри Ленты ВКонтакте. Обычный рекомендер оптимизируется под релевантный показ, за которым обычно следует лайк, комментарий и другие реакции, но интерес к посту ещё не означает готовность купить товар. Поэтому для товарных публикаций сделали отдельную систему со своими кандидат…

🤣60👨‍💻27🔥24❤23😭19👍10👏6💅5

2 Oct 2026, 07:59 UTC≈20,100 views143 reactionsread 6 October 2026
Photo

✔️ Anthropic раздаёт бесплатные плюшевые игрушки и стикеры На сайте для разработчиков claude.dev появилась раздача фирменных подарков. В разделе Терминал нужно ввести команду /plushies, чтобы оформить заявку на плюшевого Clawd, маскота Claude Code, или /stickers, чтобы получить набор стикеров. Покупать ничего не нужно, подарок положен один на человека, участвовать могут только совершеннолетние. Дизайн игрушки выбир…

👍47🥰41🎉17🔥14❤9🥱5🦄4😁3

Showing the 12 most recent of 321 posts we hold for @ai_machinelearning_big_data. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.

Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.

Posts edited after publishing

@ai_machinelearning_big_data edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
30 September 2026
Most recent edit
30 September 2026

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

Republished by 92 registered channels. The 48 listed are the ones that have forwarded the most posts; the rest are counted here but not each listed.

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@funscience · 34,377
2 posts
Github
@github_code · 2,538
2 posts
4 ПРОМЫШЛЕННАЯ РЕВОЛЮЦИЯ
@klaus_shwab · 70
2 posts
Машиннное обучение | Наука о данных Библиотека
@machinelearning_books · 16,859
2 posts
Мобильная разработка
@mobdevelop · 3,873
2 posts
Morozov ML
@mrzvML · 7
2 posts
Neural Networks | Нейронные сети
@neural · 11,582
2 posts
TensorFlow
@tensorflowblog · 1,331
2 posts
White Tensor [AI, ML, DL]
@white_tensor · 161
2 posts
AI Surfer Технологии
@AISurferRu · 68
1 post
Гайд по нейронкам
@ai4busines · 2
1 post
Generative AI
@ai_generative · 2,153
1 post
AI.Sorceress @ Cloud
@ai_sorceress · 250
1 post
MLOps notes
@ai_watchtower · 190
1 post
AISec [x\x feed]🍓🍌🍆
@aisecnews · 1,482
1 post
Android разработка
@android_its · 4,868
1 post
IT 🐈 Digital
@cakescats_com · 258
1 post
CodeSpec
@codespec · 324
1 post

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

Named by 139 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.

Named by

Channels on the register whose posts name this channel's handle.

Kali Linux
@linuxkalii · 55,481
59 posts
Data Science by ODS.ai 🦜
@opendatascience · 38,486
58 posts
Data Science. SQL hub
@sqlhub · 35,948
45 posts
Python вопросы с собеседований
@python_job_interview · 24,860
40 posts
Искусственный интеллект. Высокие технологии
@vistehno · 71,011
39 posts
Математика Дата саентиста
@data_math · 14,263
34 posts
Linux Education
@linux_education · 11,106
26 posts
Artificial Intelligence
@ArtificialIntelligencedl · 16,747
22 posts
ИИ — svodka.ai: краткие сводки каналов
@svodkaai_ai · 9,510
22 posts
Golang
@Golang_google · 40,420
21 posts
cortex_pulse AI
@cortex_pulse · 37
20 posts
MEECH
@meechale · 2
20 posts
Python/ django
@pythonl · 58,674
20 posts
SQL и Анализ данных
@databases_tg · 12,451
19 posts
Machine learning Interview
@machinelearning_interview · 30,334
18 posts
Библиотека баз данных
@sql_lib · 10,158
18 posts
Квест Теория Каст и Ролей
@alexkrol · 18,730
17 posts
Big Data AI
@bigdatai · 18,202
15 posts
Машинное обучение RU
@machinelearning_ru · 18,200
15 posts
AI Vibe | новости ML нейросети LLM
@ai_link_vibe · 144
13 posts
📚Python Books
@pythonlbooks · 33,357
13 posts
Анализ данных (Data analysis)
@data_analysis_ml · 50,680
12 posts
DevOps
@DevOPSitsec · 23,671
12 posts
Машиннное обучение | Наука о данных Библиотека
@machinelearning_books · 16,859
12 posts

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.

Channels Telegram recommends alongside this one

Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.

эйай ньюз
@ai_newz · 97,222
#1
Data Secrets
@data_secrets · 94,538
#2
Сиолошная
@seeallochnaya · 80,254
#3
Анализ данных (Data analysis)
@data_analysis_ml · 50,680
#4
Denis Sexy IT 🤖
@denissexy · 137,955
#5
Machine learning Interview
@machinelearning_interview · 30,334
#6
DeepSchool
@deep_school · 10,729
#7
LLM под капотом
@llm_under_hood · 29,482
#8
Dealer.AI
@dealerAI · 16,722
#9
Yandex for ML
@yandexforml · 18,948
#10
Машинное обучение RU
@machinelearning_ru · 18,200
#11
Градиент обреченный
@doomgrad · 8,794
#12
Институт AIRI
@airi_research_institute · 13,709
#13
Математика Дата саентиста
@data_math · 14,263
#14
Метаверсище и ИИще
@cgevent · 52,769
#15
Complete AI
@complete_ai · 7,857
#16
Data Science
@datascienceiot · 42,567
#17
Искусственный интеллект. Высокие технологии
@vistehno · 71,011
#18
Нескучный Data Science
@not_boring_ds · 12,045
#19
Python/ django
@pythonl · 58,674
#20
Жёлтый AI
@zheltyi_ai · 9,354
#21
New Yorko Times
@new_yorko_times · 10,606
#22
Машиннное обучение | Наука о данных Библиотека
@machinelearning_books · 16,859
#23
Data Science Jobs
@datascienceml_jobs · 21,299
#24
Derp Learning
@derplearning · 13,896
#25
Dev & ML Connectable Jobs
@dev_connectablejobs · 28,088
#26
🏆 AIeron | Data Feeling
@datafeeling · 14,231
#27
Data Science by ODS.ai 🦜
@opendatascience · 38,486
#28
Агенты ИИ | AGI_and_RL
@AGI_and_RL · 6,203
#29
Data Science. SQL hub
@sqlhub · 35,948
#30
Data Science Jobs
@datasciencejobs · 22,197
#31
AI для Всех
@nn_for_science · 15,482
#32
Golang
@Golang_google · 40,420
#33
Библиотека дата-сайентиста | Data Science, Machine learning, анализ данных, машинное обучение
@dsproglib · 18,331
#34
Data Secrets | Карьера
@data_secrets_career · 7,251
#35
AbstractDL
@abstractDL · 18,672
#36
Big Data AI
@bigdatai · 18,202
#37
Дратути Антон
@blog_toxa · 4,311
#38
Data Science | Machinelearning [ru]
@devsp · 19,787
#39
grokaem себя
@grokaem_seby · 2,721
#40
Data, Stories and Languages
@datastorieslanguages · 3,827
#41
Python вопросы с собеседований
@python_job_interview · 24,860
#42
КПД
@quant_prune_distill · 3,487
#43
DevOps
@DevOPSitsec · 23,671
#44
Душный NLP
@stuffyNLP · 6,692
#45
Artificial Intelligence
@ArtificialIntelligencedl · 16,747
#46
Knowledge Accumulator
@knowledge_accumulator · 5,687
#47
Mashkka про Data Science
@mashkka_ds · 5,202
#48
Start Career in DS
@start_ds · 11,487
#49
РИСЕРЧОШНАЯ
@researchoshnaya · 2,469
#50
Пресидский залив
@neural_prosecco · 8,206
#51
XOR
@xor_journal · 213,509
#52
gonzo-обзоры ML статей
@gonzo_ML · 24,543
#53
Kali Linux
@linuxkalii · 55,481
#54
То шо нейросети
@toshoseti · 1,409
#55
Young&&Yandex
@Young_and_Yandex · 111,614
#56
epsilon correct
@epsiloncorrect · 8,146
#57
ФКН: Вакансии
@vacancy_cs · 17,444
#58
Хабр
@habr_com · 132,847
#59
Нейроканал
@neuro_channel · 11,812
#60
🏄 Соревновательный Data Science | Kaggle | Чемпионаты
@data_science_winners · 3,369
#61
ML for Value / Ваня Максимов
@ml4value · 5,689
#62
Information Retriever
@inforetriever · 4,143
#63
Время Валеры
@cryptovalerii · 31,566
#64
Техножрица 👩‍💻👩‍🏫👩‍🔧
@tech_priestess · 15,019
#65
Старший Авгур
@senior_augur · 8,634
#66
ODS #jobs
@odsjobs · 14,195
#67
Kali Novskaya
@rybolos_channel · 19,054
#68
еба́ные идеи для резерча
@ebaresearch · 5,344
#69
Борис опять
@boris_again · 17,599
#70
Neural Shit
@NeuralShit · 54,321
#71
Just links
@j_links · 6,926
#72
Поступашки - ШАД, Стажировки и Магистратура
@postypashki_old · 46,014
#73
Заметки Computer Vision инженера
@CVML_team · 6,067
#74
Сергей Марков: машинное обучение, искусство и шитпостинг
@oulenspiegel_channel · 11,083
#75
addmeto
@addmeto · 71,819
#76
DLStories
@dl_stories · 15,582
#77
Physics.Math.Code
@physics_lib · 146,792
#78
Kantor.AI
@kantor_ai · 12,232
#79
Data jobs — вакансии по data science, анализу данных, аналитике, искусственному интеллекту
@datajob · 14,863
#80
Take Friends to Luna Park
@hrlunapark · 20,411
#81
kyrillic
@kyrillic · 60,918
#82
Эксплойт
@exploitex · 2,048,192
#83
R77 AI | Кейсы в ИИ (от выпускников МФТИ)
@r77_ai · 7,482
#84
Бэкдор
@whackdoor · 1,586,239
#85
Нескучный Data Science Jobs
@not_boring_ds_jobs · 9,188
#86
AI Happens
@aihappens · 14,538
#87
(sci)Berloga Всех Наук и Технологий
@sberlogabig · 8,013
#88
̶с̶а̶м̶̶о̶изолента мёбиуса
@izolenta_mebiusa · 2,772
#89
e/acc
@cryptoEssay · 62,555
#90
Reliable ML
@reliable_ml · 6,607
#91
ODS Events
@datafest · 8,861
#92
Ppprompt | Sexy AI Prompts & Experiments | by @ponchiknews
@ppprompt · 15,485
#93
Linux Academy
@linuxacademiya · 28,459
#94
Нейронки и вино
@neural_wine · 1,928
#95

Read from Telegram’s recommendation API, most recently 10 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

Data Science | Machinelearning [ru]
@devsp · 19,787
Telegram ranks this channel #1 of 91 here — alongside 90 others — read 30 September 2026
Machine learning Interview
@machinelearning_interview · 30,334
Telegram ranks this channel #1 of 98 here — alongside 97 others — read 7 September 2026
Data Science
@datascienceiot · 42,567
Telegram ranks this channel #1 of 76 here — alongside 75 others — read 29 August 2026
Анализ данных (Data analysis)
@data_analysis_ml · 50,680
Telegram ranks this channel #1 of 93 here — alongside 92 others — read 25 August 2026
Python/ django
@pythonl · 58,674
Telegram ranks this channel #1 of 84 here — alongside 83 others — read 22 August 2026
Искусственный интеллект. Высокие технологии
@vistehno · 71,011
Telegram ranks this channel #1 of 94 here — alongside 93 others — read 20 August 2026
Python вопросы с собеседований
@python_job_interview · 24,860
Telegram ranks this channel #2 of 90 here — alongside 89 others — read 15 September 2026
Data Science. SQL hub
@sqlhub · 35,948
Telegram ranks this channel #2 of 87 here — alongside 86 others — read 2 September 2026
Data Secrets
@data_secrets · 94,538
Telegram ranks this channel #3 of 98 here — alongside 97 others — read 17 August 2026
Data Science Jobs
@datascienceml_jobs · 21,299
Telegram ranks this channel #4 of 97 here — alongside 96 others — read 24 September 2026
DevOps
@DevOPSitsec · 23,671
Telegram ranks this channel #4 of 90 here — alongside 89 others — read 18 September 2026
Yandex for ML
@yandexforml · 18,948
Telegram ranks this channel #7 of 96 here — alongside 95 others — read 4 October 2026
Sber AI
@SberAIScience · 26,973
Telegram ranks this channel #7 of 95 here — alongside 94 others — read 10 September 2026
Kali Linux
@linuxkalii · 55,481
Telegram ranks this channel #7 of 89 here — alongside 88 others — read 23 August 2026
XOR
@xor_journal · 213,509
Telegram ranks this channel #7 of 93 here — alongside 92 others — read 12 August 2026
gonzo-обзоры ML статей
@gonzo_ML · 24,543
Telegram ranks this channel #9 of 93 here — alongside 92 others — read 16 September 2026
Physics.Math.Code
@physics_lib · 146,792
Telegram ranks this channel #9 of 72 here — alongside 71 others — read 13 August 2026
Библиотека питониста | Python, Django, Flask
@pyproglib · 37,258
Telegram ranks this channel #10 of 84 here — alongside 83 others — read 1 September 2026
Data Science Jobs
@datasciencejobs · 22,197
Telegram ranks this channel #11 of 93 here — alongside 92 others — read 21 September 2026
LLM под капотом
@llm_under_hood · 29,482
Telegram ranks this channel #12 of 96 here — alongside 95 others — read 9 September 2026
эйай ньюз
@ai_newz · 97,222
Telegram ranks this channel #12 of 94 here — alongside 93 others — read 16 August 2026
GitHub Community
@github · 155,595
Telegram ranks this channel #14 of 87 here — alongside 86 others — read 12 August 2026
NOP::Nuances of Programming
@nuancesprog · 56,362
Telegram ranks this channel #15 of 84 here — alongside 83 others — read 23 August 2026
Сиолошная
@seeallochnaya · 80,254
Telegram ranks this channel #15 of 97 here — alongside 96 others — read 19 August 2026

This channel appears in 118 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

Cite this entry

A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 4 October 2026 — this entry's latest reading, not the date you are reading this.

“Machinelearning” (@ai_machinelearning_big_data), 278,381 subscribers as measured 4 October 2026. Telegram Register, tgregister.com/channel/ai_machinelearning_big_data.

Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.