Channel
@bigdata_world
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
2,244subscribers
-14 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1001497895607 |
|---|---|
| Type | Channel |
| Username | @bigdata_world |
| Created | Between 1 May 2019 and 30 September 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 25 August 2026 |
| Measurements held | 9 |
| Confirmed unchanged | 1 time, most recently 25 August 2026 |
| On Telegram | t.me/bigdata_world |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 25 Aug 2026, 22:25 | 2,244 | -2 |
| 22 Aug 2026, 22:48 | 2,246 | -1 |
| 19 Aug 2026, 11:44 | 2,247 | -4 |
| 16 Aug 2026, 22:18 | 2,251 | +2 |
| 13 Aug 2026, 16:17 | 2,249 | -6 |
| 10 Aug 2026, 09:14 | 2,255 | -2 |
| 7 Aug 2026, 06:44 | 2,257 | -1 |
| 7 Aug 2026, 00:46 | 2,258 | no change |
| 7 Aug 2026, 00:38 | 2,258 | first reading |
20 posts held, back to 10 March 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pagesof Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 12 April 2026. An engagement rate over an empty window would be a number about nothing.
15 reactions across 8 posts, in 2 distinct kinds. The most used accounts for 53.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 8 | 53.3% | |
| 👍 | 7 | 46.7% |
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 10 of the 20 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 15reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 10 March 2025 to 12 April 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.
7 основных инструментов Python для разработки признаков Из этой статьи вы узнаете, как использовать модуль itertools в Python для упрощения распространенных задач по разработке признаков с помощью простых и эффективных шаблонов. https://machinelearningmastery.com/7-essential-python-itertools-for-feature-engineering
❤2
Генерация тестов ИИ: руководство для разработчиков, не стреляя себе в ногу https://foojay.io/today/ai-driven-testing-best-practices
❤2
За полчаса установил DeepSeek 1.5B, пока вы искали GPT подешевле DeepSeek 1.5B — маленький, но шустрый собрат больших языковых моделей. Работает локально, не требует железа на киловатт. Внутри — инструкция по установке, настройке и запуску DeepSeek 1.5B на Ubuntu 24.04 с Ollama и Open WebUI. https://habr.com/ru/companies/minerva_media/articles/909130/
👍3❤1
Бесплатный 65-часовой учебный лагерь GenAI https://www.freecodecamp.org/news/free-genai-65-hour-bootcamp
10 практических шагов по улучшению агентских систем https://blog.dailydoseofds.com/p/10-practical-steps-to-improve-agentic
От MCP до мультиагентов: 10 лучших новых проектов ИИ с открытым исходным кодом на GitHub прямо сейчас и почему они важны https://github.blog/open-source/maintainers/from-mcp-to-multi-agents-the-top-10-open-source-ai-projects-on-github-right-now-and-why-they-matter/
Создайте MCP-сервер за 3 шага https://blog.dailydoseofds.com/p/build-an-mcp-server-in-3-steps
Как бы я быстро освоил машинное обучение и искусственный интеллект, если бы мне пришлось начинать все сначала https://www.youtube.com/watch?v=8xUher8-5_Q
Достижение гибкой и высокоточной генерации изображений с сохранением идентичности остается сложной задачей, особенно с помощью усовершенствованных диффузионных преобразователей (DiT), таких как FLUX. Мы представляем InfiniteYou (InfU), одну из самых ранних надежных фреймворков, использующих DiT для этой задачи. https://github.com/bytedance/infiniteyou
❤1
Сообщество аналитиков и инженеров данных, где ты найдёшь множество интересных трюков, лайфхаков и глубоких инсайтов по работе с Pandas в Python. Всё, что нужно, чтобы усвоить мощь библиотек для анализа данных и автоматизировать рутинные задачи. Подписаться ✔️
Dolphin — это многоязычная, многозадачная модель ASR, разработанная в рамках сотрудничества Dataocean AI и Университета Цинхуа. Она поддерживает 40 восточных языков Восточной Азии, Южной Азии, Юго-Восточной Азии и Ближнего Востока, а также 22 китайских диалекта. Она обучена на более чем 210 000 часах данных, включая как собственные наборы данных DataoceanAI, так и наборы данных с открытым исходным кодом. Модель может…
Карта разума панд Лучшая интеллект-карта для освоения панд. https://blog.dailydoseofds.com/p/pandas-mind-map
Showing the 12 most recent of 20 posts we hold for @bigdata_world. 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.
Republishes
Channels on the register whose posts this channel has forwarded.
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.
Names
Channels on the register whose handles appear in this channel's 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.
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 25 August 2026 — this entry's latest reading, not the date you are reading this.
“Big data world” (@bigdata_world), 2,244 subscribers as measured 25 August 2026. Telegram Register, tgregister.com/channel/bigdata_world.
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.