Официальная группа новостей про мероприятия сообщества Open Data Science: Data Fest, Data Halloween, Data Ёлка и других
https://ods.ai/events, https://fest.ai
Created
1 April 2018 — measured — cross-checked against a third-party dataset (ext.tg_channel)
Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 11 September 2026 and assigned it the closest of 31 fixed categories, at 99% 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 the other topics.
Channels linked by matching posts
This channel is in a group of 2 registered channels linked by matching posts. Links are found by comparing text fingerprints across every channel on the register.
Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
24 measurements spanning 95 days, net +36. 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 8,799–8,869 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 24
Measured (UTC)
Subscribers
Change
8 Nov 2026, 22:00
8,857
+7
5 Nov 2026, 08:41
8,850
-5
2 Nov 2026, 11:40
8,855
-4
30 Oct 2026, 05:59
8,859
-1
23 Oct 2026, 12:11
8,860
+1
20 Oct 2026, 10:41
8,859
-1
17 Oct 2026, 20:56
8,860
+2
10 Oct 2026, 18:02
8,858
-3
4 Oct 2026, 20:40
8,861
+20
25 Sept 2026, 08:16
8,841
+15
17 Sept 2026, 08:37
8,826
+8
13 Sept 2026, 18:59
8,818
+1
10 Sept 2026, 03:55
8,817
-3
5 Sept 2026, 05:38
8,820
+1
1 Sept 2026, 06:37
8,819
-1
29 Aug 2026, 07:44
8,820
-4
26 Aug 2026, 18:22
8,824
+4
23 Aug 2026, 23:38
8,820
+6
19 Aug 2026, 22:35
8,814
+6
16 Aug 2026, 20:45
8,808
first reading
Engagement
47 posts held, back to 31 May 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 46 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
34.0%
avg views ÷ 8,857 subscribers
Avg views / post
3,020
9 posts measured
Reaction rate
0.416%
reactions ÷ views · ER floor
Posts in window
9
of 47 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
Window
Rolling 30 days · latest post in window 8 November 2026
Posts held
47 (31 May 2026 – 8 November 2026)
Views total
27,140
Reactions total
113
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
10 Nov 2026, 23:55 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
395
Videos
7
Links
858
Lifetime counters from Telegram’s own channel header, read 10 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Reaction mix
747 reactions across 47 posts, in 12 distinct kinds. The most used accounts for 38.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
287
38.4%
🔥
215
28.8%
👍
146
19.5%
🎉
33
4.42%
🎃
14
1.87%
🤗
14
1.87%
❤🔥
13
1.74%
😁
11
1.47%
👻
6
0.803%
🥰
4
0.535%
👀
2
0.268%
😍
2
0.268%
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 47 of the 47 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 747 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 47 most recent posts we hold, published 31 May 2026 to 8 November 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.
Recent posts
Telegram’s own ‘edited’ marker: 0 of 9 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
Доброе утро! ☀️
Встречайте новый выпуск подкаста "Капитанский мостик". Ведущие Валентин Малых и Дмитрий Колодезев обсуждают с Григорием Черновым, специалистом по экономике, новости об ИИ: Kimi за рубли | Нейрохирургия Qwen | ИИ-пузырь лопнул
Смотрите видео на каналах ⤵️
ODS VK Video
ODS YouTube
📩 Присылайте новости для обсуждения в канал "Дата-капитаны" в mattermost (авторизуйтесь через ODS.ai).
Всем привет!
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Смотрите видео на каналах ⤵️
ODS VK Video
ODS YouTube
📩 Присылайте новости для обсуждения в канал "Дата-капитаны" в mattermost (авторизуйтесь через ODS.ai).
Осенний Avito ML Cup: ранжирование ленты рекомендаций
В этот раз задача про ранжирование, а призовой фонд вырос вдвое! 💰
🎯 Задача соревнования
Для каждой рекомендательной ленты Авито уже отобраны кандидаты. Изучите историю пользователя и признаки объявлений, а потом расположите кандидатов так, чтобы выше оказались те, с которыми человек совершит целевое действие.
🏆 Призовой фонд — 1 500 000 ₽
🥇 1 место — 750 000 ₽…
Доброе утро! ☀️
Встречайте новый выпуск подкаста "Капитанский мостик". Ведущие Валентин Малых и Дмитрий Колодезев разбирают главные ИИ-события недели: Агенты лезут в кошелек | Видеокарта на 480 Гб | Робот-телохранитель
Смотрите видео на каналах ⤵️
ODS VK Video
ODS YouTube
📩 Присылайте новости для обсуждения в канал "Дата-капитаны" в mattermost (авторизуйтесь через ODS.ai).
Всем привет!
В нашем SWE MERA Challenge начался второй этап (Stage 2)!
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Чтобы запускать модели мы даем половину NVIDIA PRO 6000. Кстати, большое спасибо Казтелепорт за то, что предоставили их для соревнования!
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Встречаемся в Красноярске, чтобы обсудить практическое применение LLM и ИИ-агентов.
В программе четыре доклада:
1️⃣ LLM-агенты в Data Science: автоматизация полного цикла ML.
2️⃣ ИИ в работе исследователя: практические кейсы и опыт обучения аспирантов.
3️⃣ Персональный ИИ-ассистент: чаты, почта, задачи и голосовое общение.
4️⃣ MCP для корпоративных агентов: как проектировать инструменты, которые …
🎃 Data Halloween Almaty 2026: осень, данные и немного мистики! 👻
7 ноября встречаемся в офисе inDrive, чтобы обсудить страшилки из мира Data & AI: фейлы на проде, провальные проекты и другие профессиональные ужасы.
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В программе:
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🤝 Нетворкинг и новые знакомства
…
Всем привет! 🫶
Какое-то время сайт был недоступен, мы провели технические работы и наконец-то вернулись в онлайн 🦜
Пока возможны баги и временные сбои — надеемся на ваше понимание! Если заметите повторяющиеся ошибки, пожалуйста, напишите нам на почту 📩
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Доброе утро! ☀️
Встречайте новый выпуск подкаста "Капитанский мостик". Ведущие Валентин Малых и Дмитрий Колодезев разбирают главные ИИ-события недели: Sakana представила ИИ-ученого, обсуждаем глубокое рецензирование и будущее научных публикаций, вычисления прямо в памяти и китайские успехи в ИИ-математике.
Смотрите видео на каналах ⤵️
ODS VK Video
ODS YouTube
📩 Присылайте новости для обсуждения в канал "Дата-капита…
Всем привет!
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Смотрите видео на каналах ⤵️
ODS VK Video
ODS YouTube
📩 Присылайте новости для обсуждения в канал "Дата-капитаны" в mattermost (авторизуйтесь чер…
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⭐️ Затем — панельная дискуссия «Когнитивная разгрузка: мы теряем мышление или …
Доброе утро! ☀️
Встречайте новый выпуск подкаста "Капитанский мостик". Ведущие Валентин Малых и Дмитрий Колодезев разбирают главные ИИ-события недели: вышел Gemini 4, Figure косплеит Терминатора, Пентагон закупает беспилотники, а Google несёт вычисления в космос.
Смотрите видео на каналах ⤵️
ODS VK Video
ODS YouTube
📩 Присылайте новости для обсуждения в канал "Дата-капитаны" в mattermost (авторизуйтесь через ODS.ai…
👍3
Showing the 12 most recent of 47 posts we hold for @datafest. 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.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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 5 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.
Named by
Channels on the register whose posts name this channel's handle.
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.
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.
Yandex for ML @yandexforml · 19,136 Telegram ranks this channel #25 of 96 here — alongside 95 others — read 4 October 2026
Machine learning Interview @machinelearning_interview · 30,560 Telegram ranks this channel #57 of 98 here — alongside 97 others — read 7 September 2026
karpov.courses @KarpovCourses · 27,313 Telegram ranks this channel #61 of 96 here — alongside 95 others — read 10 September 2026
Yandex for Developers @Yandex4Developers · 28,656 Telegram ranks this channel #61 of 94 here — alongside 93 others — read 9 September 2026
Data Science Jobs @datasciencejobs · 22,587 Telegram ranks this channel #72 of 93 here — alongside 92 others — read 21 September 2026
Data Secrets @data_secrets · 96,035 Telegram ranks this channel #74 of 98 here — alongside 97 others — read 17 August 2026
Data Science Jobs @datascienceml_jobs · 21,642 Telegram ranks this channel #81 of 97 here — alongside 96 others — read 24 September 2026
Время Валеры @cryptovalerii · 32,082 Telegram ranks this channel #86 of 94 here — alongside 93 others — read 6 September 2026
LLM под капотом @llm_under_hood · 30,219 Telegram ranks this channel #87 of 96 here — alongside 95 others — read 9 September 2026
Dev & ML Connectable Jobs @dev_connectablejobs · 29,084 Telegram ranks this channel #89 of 94 here — alongside 93 others — read 10 September 2026
Kali Novskaya @rybolos_channel · 19,136 Telegram ranks this channel #92 of 93 here — alongside 92 others — read 4 October 2026
Machinelearning @ai_machinelearning_big_data · 275,659 Telegram ranks this channel #92 of 95 here — alongside 94 others — read 10 August 2026
This channel appears in 12 seed channels' Telegram-generated recommendation lists in total. 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 8 November 2026 — this
entry's latest reading, not the date you are reading this.
“ODS Events” (@datafest), 8,857 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/datafest.
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.