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Channel

ML Boost Camp

@ml_boost_camp

On this record: Growth · Engagement · Reactions · Posts · Polls · Citations · Cite this entry

1,159subscribers

-2 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1002181307186
TypeChannel
Username@ml_boost_camp
CreatedBetween 1 June 2024 and 30 September 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live10 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 10 August 2026
On Telegramt.me/ml_boost_camp

Growth

1,1591,1611,1607 August 2026 — 1,161 subscribers7 August 2026 — 1,160 subscribers10 August 2026 — 1,159 subscribers7 August 202610 August 2026
3 measurements spanning 3 days, net -2. 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 1,159–1,161 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
10 Aug 2026, 11:101,159-1
7 Aug 2026, 17:321,160-1
7 Aug 2026, 09:321,161first reading

Engagement

20 posts held, back to 5 December 2024the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof 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 8 July 2025. An engagement rate over an empty window would be a number about nothing.

Reaction mix

386 reactions across 19 posts, in 18 distinct kinds. The most used accounts for 58.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥22558.3%
6516.8%
👍276.99%
😱256.48%
92.33%
🏆71.81%
🎉61.55%
🍾41.04%
👾30.777%
🕊30.777%
🗿30.777%
👀20.518%
🙏20.518%
👨‍💻10.259%
😭10.259%
🙉10.259%
🤔10.259%
🤯10.259%

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 20 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 386reactions 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 5 December 2024 to 8 July 2025, 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

8 Jul 2025, 07:51 UTC≈1,480 views25 reactionsread 7 August 2026
Forwarded from @datastorieslanguages

​​Kaggle Progression Update Большие изменения на Kaggle! Сегодня на форумах появился пост с внушительным списком изменений платформы. • Вначале главное - рейтинга обсуждений больше нет! Вместо него всем дали ачивки Discussions Legacy Expert/Master/Grandmaster, больше их не заработать. Причина - слишком многие фармили этот рейтинг. И 4х Грандмастером не стать... хотя нет - им стать можно, но по-другому. • Завезли сп

😱11👍94😭1

23 Jun 2025, 10:18 UTC≈1,850 views16 reactionsread 7 August 2026

Заглянул на Kaggle с другой стороны, как организатор. Любоптыный опыт. Заходите порешать на досуге… FlightRank 2025: Aeroclub RecSys Cup - RecSys соревнование на Kaggle про ✈️ Лидерборд еще sparse, только на днях соревнование появилось на Kaggle в Spotlights. 2 месяца впереди (до 17 августа), Community competition (без медалек), призовые $10,000. Данных много для Kaggle-ноутбуков (в память только с бубном Polars,

🔥10👍4🙏2

7 Jun 2025, 19:10 UTC≈2,010 views30 reactionsread 7 August 2026

Всем привет! Записали для вас разбор соревнования Yale/UNC-CH - Geophysical Waveform Inversion Спасибо Вадиму за участие Ссылка на видео: https://youtu.be/hWMkAnWpWqM

🔥237

6 Jun 2025, 12:32 UTC≈1,660 views13 reactionsread 7 August 2026

🎯 Meta Kaggle Hackathon — анализируй Kaggle с помощью Kaggle! 🔍 Kaggle запустил первый официальный хакатон, и он действительно мета! 🤖 Задача — использовать Meta Kaggle — датасеты о самой платформе Kaggle — чтобы исследовать, как сообщество влияет на развитие AI и машинного обучения 💡 🗓 Сроки: Начало: 29 мая 2025 Дедлайн: 21 июля 2025 Результаты: 11 августа 2025 🏆 Призовой фонд: $50,000 Два трека: 🔹 Main Track

🔥7🗿3😱2🙉1

31 May 2025, 11:03 UTC≈1,390 views16 reactionsread 7 August 2026
Forwarded from @datastorieslanguages

Kaggle Hackathons Каггле решил попробовать двинуться в новом направлении и выкатил новую фичу - Kaggle Hackathons. По факту это развитие идеи Analytics Competition. Огранизатор хакатона может поставить любую задачу - сделать приложение, что-то сделать с помощью LLM, записать видео и так далее. Сабмиты делаются в виде Hackathon Writeup - пост на форуме со ссылкой на свой проект и подробным объяснением сделанного. М

9🔥5😱2

16 May 2025, 09:18 UTC≈1,530 views19 reactionsread 7 August 2026
Forwarded from @nn_for_sciencePhoto

🚀 OpenAI to Z Challenge — охота за затерянными городами Амазонии 🌳🛰️ Искали повод совместить ИИ и приключения? Вот он: В чём суть OpenAI предлагает нам, цифровым археологам, найти новые древние поселения под пологом тропического леса. Используем свежайшие модели o3 / o4-mini / GPT-4.1, спутниковые снимки, LiDAR-тайлы, колониальные дневники и устные карты коренных народов. Цель — предъявить координаты, доказать суще

🔥11👍6👀2

7 May 2025, 13:13 UTC≈1,600 views0 reactionsread 7 August 2026
Poll

Разбор какого соревнования вы хотите(см выше)?

  1. ARC Prize 202526%
  2. Yale/UNC-CH - Geophysical Waveform Inversion20%
  3. BYU - Locating Bacterial Flagellar Motors 202516%
  4. Image Matching Challenge 202530%
  5. Drawing with LLMs27%
  6. Stanford RNA 3D Folding21%
  7. BirdCLEF+ 202531%
  8. Не хочу5%

The shares total 176%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.

25 Apr 2025, 11:27 UTC≈2,000 views15 reactionsread 7 August 2026

👾 ARC Prize 2025 Цель: Разработать ИИ, способный осваивать новые навыки и решать открытые задачи, а не только выполнять типовые сценарии обучения на больших датасетах. Проект направлен на продвижение к настоящему искусственному общему интеллекту (AGI). 📦 Данные: Обновлённый датасет ARC-AGI-2 с задачами, проверяющими абстрактное мышление и обобщение. Задачи калиброваны людьми и требуют от модели обучаться на лету. Ка

😱9🔥4👾2

23 Apr 2025, 13:00 UTC≈1,780 views14 reactionsread 7 August 2026

🌍 Yale/UNC-CH - Geophysical Waveform Inversion Цель: Создать модель, способную по сейсмическим волновым данным восстанавливать структуру подземных слоёв — задачу, известную как Full Waveform Inversion (FWI). Это важно для геофизики, медицины и диагностики материалов. 🔬 Почему это сложно? Традиционные физические методы точны, но очень медленные и нестабильны при слабом/шумном сигнале. Чистые ML-модели работают быст

🔥84🎉2

21 Apr 2025, 09:58 UTC≈1,480 views13 reactionsread 7 August 2026

📣 BYU - Locating Bacterial Flagellar Motors 2025 (Kaggle) 🦠 Что ищем? Флагеллярные моторы — это крошечные молекулярные "двигатели" на поверхности бактерий, которые вращают жгутики и обеспечивают их движение. Один из самых эффективных природных механизмов на наноуровне! В этом соревновании вы будете определять наличие и точные координаты таких моторов в 3D-томограммах бактерий, полученных методом криоэлектронной томо

8🔥3👍1🤯1

19 Apr 2025, 08:14 UTC≈1,460 views14 reactionsread 7 August 2026

📸 Image Matching Challenge 2025 Цель: Разработать алгоритмы, которые: Группируют изображения, относящиеся к одной сцене (или исключают «лишние» — outliers). Восстанавливают позу камеры (матрица поворота + вектор смещения) для каждой сцены — задача из области Structure-from-Motion (SfM). 💡 Представьте, что вы открыли коробку с пазлом… а в ней перемешаны детали от разных наборов. Задача: сначала разделить изображени

🔥102🏆2

18 Apr 2025, 14:11 UTC≈1,290 views12 reactionsread 7 August 2026

Drawing with LLMs 🏆 Суть соревнования Участникам нужно по текстовому описанию сгенерировать SVG-код, максимально точно визуализирующий сцену. Главная цель — разработать практичные и переиспользуемые модели, оформленные как Kaggle Packages, с чётким и воспроизводимым предсказанием изображения в SVG-формате. 📦 Особенности - Это Package Competition — новая система, где вы создаёте Python-пакет с классом Model и методо

🔥92😱1

Showing the 12 most recent of 20 posts we hold for @ml_boost_camp. 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.

Polls

The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.

7 May 2025, 13:13 UTCAnonymous Poll183 voters

Разбор какого соревнования вы хотите(см выше)?

  1. ARC Prize 202526%
  2. Yale/UNC-CH - Geophysical Waveform Inversion20%
  3. BYU - Locating Bacterial Flagellar Motors 202516%
  4. Image Matching Challenge 202530%
  5. Drawing with LLMs27%
  6. Stanford RNA 3D Folding21%
  7. BirdCLEF+ 202531%
  8. Не хочу5%

The shares total 176%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.

Percentages only — there are no per-option vote counts here, because Telegram publishes none.The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.

The shares need not add up to 100.Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.

Read from the 20 most recent posts we hold, published 5 December 2024 to 8 July 2025. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.

Citation-graph rank

Citation-graph rank — 829,194 of 1,160,990entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Forward network

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 1 registered channel — 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.

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 10 August 2026 — this entry's latest reading, not the date you are reading this.

“ML Boost Camp” (@ml_boost_camp), 1,159 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/ml_boost_camp.

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.