Channel
@AnalystDataScince
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
625subscribers
-1 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001300900332 |
|---|---|
| Type | Channel |
| Username | @AnalystDataScince |
| Created | Between 1 March 2018 and 30 June 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 7 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 7 August 2026 |
| On Telegram | t.me/AnalystDataScince |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 7 Aug 2026, 23:18 | 625 | -1 |
| 7 Aug 2026, 02:16 | 626 | no change |
| 7 Aug 2026, 02:05 | 626 | first reading |
20 posts held, back to 12 February 2023 — the 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 28 March 2025. An engagement rate over an empty window would be a number about nothing.
95 reactions across 17 posts, in 7 distinct kinds. The most used accounts for 48.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 46 | 48.4% | |
| 🔥 | 23 | 24.2% | |
| ❤ | 22 | 23.2% | |
| 👏 | 1 | 1.05% | |
| 👨💻 | 1 | 1.05% | |
| 😱 | 1 | 1.05% | |
| 🫡 | 1 | 1.05% |
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 19 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 95reactions 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 12 February 2023 to 28 March 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.
Последний месяц активно искал работу, отсматривал кучу видео с ютуба, чтобы лучше подготовиться к собесам. И буквально вчера наткнулся на интересного тг бота для подготовки к собеседованиям, выглядит просто и удобно, причем достаточно одной переписки, этапы следующие: - Загружаешь резюме и описание вакансии, выбираешь тип собеседования - Бот собеседует тебя на реальных вопросах в режиме, максимально приближенном к р…
❤9🔥3
Разработчики Яндекс Карт адаптировали Геокодер для разных стран, учитывая локальные адресные системы и культурные особенности. В этом помогли методы Deep Learning: active learning, data augmentation и contrastive learning. 🔍 Почему тестовой площадкой стал Казахстан — читайте на Хабре: https://habr.com/ru/companies/yandex/articles/877086/
🔥4
Есть классная альтернатива Эластику поискового движка от майкрософт, по их заявлению хорошо держат лэтенси и не надо настраивать шарды. В статье можно подробнее глянуть про их фичи типа реврайтинга (перезаписи поискового запроса на тот, который ближе по контексту найдет товары) и реранжирования (топ-50 товаров пересортируются исходя из семантического контекста). Второе сомнительно, ретривил итак в идеале должен дост…
👍5🔥3
Практикум выпустил бесплатный курс по а/б тестам, проходим!
🔥4❤3😱1
Две полезных статьи Хабре по поиску в Elastic Алгоритмы ранжирования в Elasticsearch: настройка и кастомизация scoring модели Многоязычный поиск в Elasticsearch: от Hello до Donaudampfschifffahrtsgesellschaftskapitän
👍2🔥2❤1
📚 Бесплатные курсы по машинному обучению от Yandex.Cloud Yandex.Cloud предлагает отличные бесплатные курсы для дата сайнтистов! Погрузитесь в мир машинного обучения с лучшими практиками и реальными кейсами. Курсы подойдут как новичкам, так и опытным специалистам. 🎓 Основные курсы: Введение в машинное обучение: Основы ML, ключевые алгоритмы и их применение. Глубокое обучение: Работа с нейронными сетями, обучение и …
👍4
5 бесплатных курсов, которые научат принимать правильные решения⚡️ 📌 «Теория принятия решений» от «ПостНаука» Серия лекций от математика и профессора о том, какие факторы влияют на принятие решений и как подходить к обсуждению разных вопросов. 📌 «Принятие решений» от 4Brain Текстовый курс с большим количеством материалов о том, как принимать верные решения индивидуально и в команде. За дополнительную плату можно …
👍7
Photo, posted without a caption
I just found out about a new mini-course from GoPractice called "Generator AI in Practice". This course dives into the use of generative AI in product management and explores real-world cases and strategies for integrating AI into products. And the best part — the course is absolutely free, but only until April 15th! This is a great opportunity to learn more about generative AI and its potential to change the landsc…
🔥2
Нашел очень толковый курс мини-лекций по линейной алгебре. Академично, без воды, с примерами и очень последовательно. https://www.youtube.com/watch?v=84sF2jCfrho&list=PLaX3n04-uUZoTu4DcD2Eqgq-h5wimh_uT
👍7
Удобный инструмент от Яндекса. Просматривает видео (вы кидаете ему предварительно ссылку), и делает его краткую выжимку с таймкодами. Пример с обсуждением поисковиков и рек. систем: https://300.ya.ru/v_JJnGn0LP?t=7256 Там же ребята советуют книгу "Теоретический минимум по Big Data", оставлю во вложении.
👍4
Бесплатные видео-курсы про нейросети от топовых лекторов. В одном месте собрали ссылки на все плейлисты и уроки, которые можно посмотреть на YouTube. Сотни часов теории про машинное обучение, Deep Learning, NLP, LLMOps, промт-инженеринг и многое другое! Если не знаете английский, включайте субтитры. Стать профессионалом в нейросетях — тут.
❤4👍1
Showing the 12 most recent of 20 posts we hold for @AnalystDataScince. 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.
Citation-graph rank — 673,129 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
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 7 August 2026 — this entry's latest reading, not the date you are reading this.
“Analyst (Data Scince, ML & AI, LLM, Bisiness analyst, BI)” (@AnalystDataScince), 625 subscribers as measured 7 August 2026. Telegram Register, tgregister.com/channel/AnalystDataScince.
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.