Данные из видео — Pima Diabetes
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Channel
@ml_mouse
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Cite this entry
4,368subscribers
+132 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1002368031676 |
|---|---|
| Type | Channel |
| Username | @ml_mouse |
| Created | Between 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 16 September 2026 |
| Measurements held | 13 |
| Confirmed unchanged | 1 time, most recently 16 September 2026 |
| On Telegram | t.me/ml_mouse |
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 13 September 2026 and assigned it the closest of 31 fixed categories, at 56% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 16 Sept 2026, 20:37 | 4,368 | +10 |
| 13 Sept 2026, 09:40 | 4,358 | +10 |
| 9 Sept 2026, 04:39 | 4,348 | +23 |
| 3 Sept 2026, 14:20 | 4,325 | +8 |
| 31 Aug 2026, 01:07 | 4,317 | +11 |
| 27 Aug 2026, 17:33 | 4,306 | +8 |
| 24 Aug 2026, 14:08 | 4,298 | +10 |
| 20 Aug 2026, 19:26 | 4,288 | +9 |
| 17 Aug 2026, 12:17 | 4,279 | +12 |
| 14 Aug 2026, 00:54 | 4,267 | +17 |
| 10 Aug 2026, 17:21 | 4,250 | +14 |
| 8 Aug 2026, 02:56 | 4,236 | no change |
| 7 Aug 2026, 16:02 | 4,236 | first reading |
16 posts held, back to 12 September 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 4 pages of 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 16 posts for this entry, the most recent from 24 July 2026. An engagement rate over an empty window would be a number about nothing.
Measured directly from 4 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.
1,357 reactions across 16 posts, in 18 distinct kinds. The most used accounts for 51.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 697 | 51.4% | |
| 🔥 | 217 | 16.0% | |
| 👍 | 183 | 13.5% | |
| ❤🔥 | 140 | 10.3% | |
| 🍓 | 55 | 4.05% | |
| 🤩 | 22 | 1.62% | |
| 👏 | 10 | 0.737% | |
| 👀 | 9 | 0.663% | |
| ✍ | 8 | 0.59% | |
| 🥰 | 5 | 0.368% | |
| 😁 | 3 | 0.221% | |
| 👨💻 | 2 | 0.147% | |
| ⚡ | 1 | 0.074% | |
| 🌚 | 1 | 0.074% | |
| 🏆 | 1 | 0.074% | |
| 💋 | 1 | 0.074% | |
| 💯 | 1 | 0.074% | |
| 🫡 | 1 | 0.074% |
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 16 of the 16 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 1,357 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 16 most recent posts we hold, published 12 September 2025 to 24 July 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @ml_mouse. 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 16 most recent posts we hold for this entry, published 12 September 2025 to 24 July 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.
Данные из видео — Pima Diabetes
❤19👍9
Модель, которая не может переобучиться — новое видео про случайный лес на канале Понимаю, что тема с разработкой не очень зашла, поэтому дальше будут бустинги. Обновил блог и добавил пару последних видео, лес там тоже появится, заходите почитать
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Разработчики в команде усложняют себе работу и пользуются странными инструментами — разбираемся в новом видео Пришлось вырезать детали и уточнения — стратегии объединения веток, другие проверки в CI и оформление релиза. Распшиу это здесь в отдельных постах с картинками. Код из видео будет позже в одном из постов. Дальше видео по ML — будем разбирать ансамбли деревьев.
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Скоро видео о CI/CD и разработке в команде После этого вернусь к ML — на эту тему ничего не выходило с ноября. Будет несколько видео про ансамбли. Ничего особенного, постараюсь сделать в том же стиле, что и про деревья. Еще есть идея написать на PyTorch или Jax какую-нибудь старую модель — перцептрон Розенблатта, когнитрон Фукусимы или "Геометрию" Бонгарда. Одно дело в статью заглянуть, а другое — написать и провер…
❤116👍18🤩8🔥5⚡1❤🔥1
Разработчики тратят на код 52 минуты в день — новое видео на канале. Хотел рассказать о работе, а не о конкретной технологии. Напишите, получилось ли донести идею. Я готовил видео о CI/CD, и оно до сих пор в работе. Примеры получились простыми, нереалистичными и скучными — пришлось начать заново.
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Стажер должен знать все Видел много комментариев, что на джуна или стажера сейчас требуют знать все с уровня мидла. Это так — рынок найма давно потерял связь с реальностью, но есть нюанс. Я разделил роадмап именно так по опыту работы с людьми разных уровней и потому что такое деление не убивает мотивацию. На уровне стажера действительно самый минимум, и его достаточно, чтобы делать работу стажера и учиться дальше. …
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Роадмап из видео
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Data Science Роадмап 2026 — видео уже на канале Ниже будет пост с самим роадмапом
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Новое видео в начале февраля. Возвращаюсь к работе после новогодних. Первым видео в этом году будет Data Science роудмап. Я уже показывал его на стриме полгода назад, сейчас решил его немного переделать и пересказать на видео с нормальным видеорядом и без запинок. Ближайшие видео будут об ансамблях деревьев, Docker в проектах и CI/CD. Еще изучаю материалы перед следующим большим историческим обзором и осваиваю новый…
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База данных из видео, распакуйте перед подключением
👍19🔥9❤3👨💻2
SQL в Data Science проектах — видео уже на канале Ниже будет пост с данными из видео. Добавил в мыш блог статью по решающим деревьям. Поменял аватарку канала, не потеряйте меня в ленте. Всех с наступающим!
👍48✍7🔥6❤2❤🔥1
Деревья не умеют экстраполировать Любимый вопрос моего тимлида на интервью: у нас есть 100 точек функции y = x в диапазоне от 0 до 100. Мы обучили решающее дерево на отрезке от 0 до 80. Что предскажет дерево на отрезке от 80 до 100? Сначала о том, как рещающие деревья работают с задачами регрессии. По сравнению с классификацией меняются две вещи: предсказание листа и мера беспорядка. Предсказанием листа будет средн…
❤86🔥18👀8❤🔥1
Showing the 12 most recent of 16 posts we hold for @ml_mouse. 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.
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.
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 16 September 2026 — this entry's latest reading, not the date you are reading this.
“мыш” (@ml_mouse), 4,368 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/ml_mouse.
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.