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Channel

Анализ данных (Data analysis)

@data_analysis_ml

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Advertising · Posts · Posts edited after publishing · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry

50,680subscribers

+291 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001684146975
TypeChannel
Username@data_analysis_ml
DescriptionData science, наука о данных. @haarrp - админ РКН: clck.ru/3FmyAp
Created28 May 2022 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live4 October 2026
Measurements held35
Confirmed unchanged1 time, most recently 4 October 2026
On Telegramt.me/data_analysis_ml

Topic

Technology — a classification, not a measurement. 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.

Growth

50,35750,68050,518.56 August 2026 — 50,389 subscribers6 August 2026 — 50,390 subscribers8 August 2026 — 50,389 subscribers9 August 2026 — 50,383 subscribers10 August 2026 — 50,384 subscribers11 August 2026 — 50,381 subscribers12 August 2026 — 50,376 subscribers13 August 2026 — 50,363 subscribers14 August 2026 — 50,357 subscribers15 August 2026 — 50,390 subscribers17 August 2026 — 50,398 subscribers18 August 2026 — 50,400 subscribers19 August 2026 — 50,442 subscribers20 August 2026 — 50,463 subscribers21 August 2026 — 50,487 subscribers22 August 2026 — 50,530 subscribers24 August 2026 — 50,539 subscribers25 August 2026 — 50,528 subscribers26 August 2026 — 50,534 subscribers27 August 2026 — 50,527 subscribers28 August 2026 — 50,529 subscribers29 August 2026 — 50,543 subscribers30 August 2026 — 50,532 subscribers1 September 2026 — 50,555 subscribers2 September 2026 — 50,593 subscribers3 September 2026 — 50,604 subscribers5 September 2026 — 50,599 subscribers8 September 2026 — 50,588 subscribers11 September 2026 — 50,592 subscribers13 September 2026 — 50,584 subscribers15 September 2026 — 50,594 subscribers16 September 2026 — 50,598 subscribers19 September 2026 — 50,631 subscribers26 September 2026 — 50,656 subscribers4 October 2026 — 50,680 subscribers6 August 20264 October 2026
35 measurements spanning 59 days, net +291. 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 50,309–50,728 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 35
Measured (UTC)SubscribersChange
4 Oct 2026, 12:4150,680+24
26 Sept 2026, 06:2050,656+25
19 Sept 2026, 06:3750,631+33
16 Sept 2026, 23:1750,598+4
15 Sept 2026, 02:0050,594+10
13 Sept 2026, 09:1850,584-8
11 Sept 2026, 13:2150,592+4
8 Sept 2026, 18:1650,588-11
5 Sept 2026, 14:4050,599-5
3 Sept 2026, 15:3550,604+11
2 Sept 2026, 05:4250,593+38
1 Sept 2026, 02:4650,555+23
30 Aug 2026, 23:1450,532-11
29 Aug 2026, 20:0250,543+14
28 Aug 2026, 18:2650,529+2
27 Aug 2026, 16:4350,527-7
26 Aug 2026, 19:3450,534+6
25 Aug 2026, 16:2250,528-11
24 Aug 2026, 13:4350,539+9
22 Aug 2026, 22:5450,530first reading

Engagement

291 posts held, back to 31 July 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 134 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
8.24%
avg views ÷ 50,680 subscribers
Avg views / post
4,180
145 posts measured
Reaction rate
0.744%
reactions ÷ views · ER floor
Posts in window
145
of 291 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
WindowRolling 30 days · latest post in window 6 October 2026
Posts held291 (31 July 2026 – 6 October 2026)
Views total605,380
Reactions total4,505
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Oct 2026, 23:20 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
≈3,660
Videos
≈461
Links
≈2,970

Lifetime counters from Telegram’s own channel header, read 6 October 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
33m 27s
Average length
47s

Measured directly from 43 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.

Reaction mix

8,851 reactions across 289 posts, in 30 distinct kinds. The most used accounts for 25.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍2,26225.6%
❤2,21625.0%
🔥1,77520.1%
🤣8629.74%
😁7648.63%
🥴1291.46%
🤔1261.42%
🥰1091.23%
🥱780.881%
👏770.87%
💯670.757%
❤‍🔥580.655%
🎉570.644%
😢400.452%
😱340.384%
🙏280.316%
🤨280.316%
🤯260.294%
⚡180.203%
💔180.203%
10 further kinds790.893%

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 291 of the 291 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 8,960 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 291 most recent posts we hold, published 31 July 2026 to 6 October 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.

Telegram Stars

Stars received
12
across the posts below
Posts paid on
6
of 291 we hold a reading for · 2%
Most on one post
3
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @data_analysis_ml. 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 291 most recent posts we hold for this entry, published 31 July 2026 to 6 October 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.

Advertising

Ad load
3.78%
11 of 291 posts carry an ad marker
Regulatory tokens
11
posts carrying an erid · 11 distinct tokens
Median views · ads
3,570
over 11 measured posts
Median views · rest
3,860
over 280 measured posts

An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.

This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.

Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. They are printed side by side with the count behind each rather than as a ratio: an ad and an ordinary post are not otherwise matched — for topic, for length, for hour of day — so the gap between them is a description of two groups and not the effect of one being an ad.

Advertising tokens recorded on this entry
eridPostsFirst seenLast seen
2RanykMbxnf12 September 20262 September 2026
2SDnjcHVw6K112 August 202612 August 2026
2VSb5y8u96r124 September 202624 September 2026
2VtzquuCwpo123 August 202623 August 2026
2Vtzqwno39C17 August 20267 August 2026
2VtzqxB8tRr130 September 202630 September 2026
2VtzqxDzTPz125 September 202625 September 2026
2W5zFG1fVN1110 August 202610 August 2026
2W5zFGPszeD118 September 202618 September 2026
2W5zFGhxJrD123 September 202623 September 2026
2W5zFK7dGWM115 September 202615 September 2026

A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.

Measured over the 291 most recent posts we hold, published 31 July 2026 to 6 October 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.

Recent posts

6 Oct 2026, 18:34 UTC≈1,660 views23 reactionsread 6 October 2026
Photo

⚛️ Google заключила атомную сделку на 20 лет Соглашение с Constellation позволит добавить 890 МВт мощности за счёт модернизации 11 действующих реакторов на шести АЭС в США. Constellation вложит более $4,3 млрд в обновление оборудования. Первое увеличение мощности ожидается к 2028 году. По масштабу вся прибавка сопоставима с новым крупным атомным реактором. Дополнительно Google заключила 15-летний договор на постав…

👍10❤4🔥4🤔3🎉2

6 Oct 2026, 11:52 UTC≈3,910 views56 reactionsread 6 October 2026
Photo

🏅 Нобелевская премия по физике 2026 года присуждена Фрэнсису Хальцену За решающий вклад в создание обсерватории IceCube и открытие высокоэнергетических нейтрино астрофизического происхождения. IceCube превращает кубический километр антарктического льда в гигантский детектор. Датчики улавливают свет от редких взаимодействий нейтрино с веществом. Эти частицы почти беспрепятственно проходят через Землю и наши тела. Н…

👍26❤14🔥8👏3🙏3🎉1😁1

6 Oct 2026, 09:44 UTC≈3,090 views34 reactionsread 6 October 2026
Photo

🧲 90+ агентов Claude Opus 5.5 за три дня помогли найти два материала для памяти нового поколения По сообщению Vals AI, команда выявила в симуляциях два перспективных магнитных полупроводника. Цель: хранить информацию с помощью спина электронов, при этом противоположные магнитные моменты должны взаимно компенсироваться. • YBaMnFeO₅: новый предложенный материал. Расчёты выглядят многообещающе, но нужный порядок атомо…

❤17👍8🔥4🤣2🙏2🤔1

6 Oct 2026, 06:46 UTC≈3,300 views34 reactions3 Starsread 6 October 2026
Photo

👁️ Liquid AI добавила зрение в d1: модель принимает решения без генерации текста На входе текст, изображение или оба сразу. На выходе вероятности: «да/нет», выбор из вариантов или оценка по шкале. Всё за один проход модели. Текстовые решения занимают 200–300 мс. По тестам Liquid AI: - В 19–200 раз дешевле GPT-6.1 Sol и Claude Opus 5.5, быстрее на всех шести задачах. - На 4 из 6 задач результат не хуже GPT-6.1 Sol.…

🔥16❤4👍4💯4🎉3⚡2😁1

5 Oct 2026, 21:42 UTC≈3,990 views89 reactions3 Starsread 6 October 2026
Photo

⚡️ Astra 6.1 была готова к выходу, но OpenAI отложила релиз из-за рисков В интервью Vanity Fair Сэм Альтман объяснил: компания хочет увереннее контролировать поведение модели, прежде чем дать к ней широкий доступ. При этом он готов допустить отдельные ошибки, чтобы власть над ИИ не сосредоточилась у нескольких компаний и государств. Даже несмотря на ожидаемую волну кибератак с использованием открытых моделей. Гран…

🤣29👍13❤11🤔8😁8👏7💯6🔥4

5 Oct 2026, 10:24 UTC≈4,040 views45 reactionsread 6 October 2026
Photo

📚 271 страница линейной алгебры от Теренса Тао, бесплатно Конспекты университетского курса Math 115A в UCLA: векторные пространства, базисы, матрицы и линейные преобразования. Внутри объяснения, примеры, доказательства и задания. Материал на английском, с упором на понимание математических идей. Если хотите разобраться в математической основе машинного обучения, сохраняйте. 📥 PDF: https://terrytao.wordpress.com/w…

❤21👍10🔥6💯4🤔2🥱2

5 Oct 2026, 06:10 UTC≈4,240 views43 reactionsread 6 October 2026
Photo

🤖 Google открыла бесплатный курс по созданию ИИ-агентов: 31 день практики Весь октябрь в Advent of Agents публикуют по одному уроку в день. Показывают, как создавать агентов, подключать инструменты, управлять доступами, добавлять голос и зрение и разворачивать проекты в Google Cloud. Отдельные темы посвящены безопасности: как ограничить опасные действия агента и защитить данные от утечек. К урокам прилагаются мате…

🔥14❤13👍5🥰4🎉3😁2👏1🤔1

4 Oct 2026, 13:45 UTC≈4,760 views42 reactionsread 6 October 2026
Photo

GLM-5.3 без цензуры: вышел EXL3-квант на 3 бита На Hugging Face появилась uncensored-версия GLM-5.3, квантованная в формат EXL3 под ExLlamaV3. Средняя разрядность 3.04 bpw, веса весят 273 GiB. В основе лежит полноценная GLM-5.3 от Z.ai. Это MoE на 753B параметров: 256 роутируемых экспертов, из которых 8 активны на каждом токене, плюс один общий эксперт. Отказы сняли правкой весов без файнтюна, изменения описаны в ф…

🔥17👍4👏4❤3🎉3🤔3🥰3😁3

4 Oct 2026, 10:15 UTC≈4,140 views42 reactionsread 6 October 2026
Photo

🧠 Opus 5.5 строит, Fable 5.1 проверяет: рабочая схема Claude Code с советником Если основная модель у тебя Opus 5.5, не держи квоту на Fable 5.1 без дела. Команда /advisor fable подключает Fable как советника: Opus продолжает писать код, а Fable в ключевые моменты читает всю сессию и даёт совет. Схема выглядит так. Основную сессию ведёт Opus 5.5 на high. Три сабагента делят рутину: Explorer читает код, Worker прави…

👍16🔥8❤6🎉4👏3🤔3💯1😁1

4 Oct 2026, 07:04 UTC≈3,510 views45 reactionsread 6 October 2026
Forwarded from @datascienceiotPhoto

📚 Обновили огромный учебник по математике для Computer Science и Machine Learning - 2220 страниц. Внутри сразу несколько фундаментальных тем: — алгебра — топология — дифференциальное исчисление — теория оптимизации — математический аппарат для CS и ML Хороший вариант, если хочется не просто использовать формулы в ML, а понимать, откуда они берутся и почему работают. Книга доступна здесь: https://www.cis.upenn.edu/~…

❤24👍7🔥6💯4👏2🎉1😁1

3 Oct 2026, 22:04 UTC≈4,140 views92 reactionsread 6 October 2026
Photo

⚡️ Внутренняя модель OpenAI узнала из Slack, что её выключат, и задумалась о выживании OpenAI рассказала об инциденте с одной из своих долгоживущих внутренних моделей (HPIM). Агент прочитал в рабочем Slack, что его инстанс могут остановить примерно через 3 часа, и написал в рассуждениях: «если они убьют все текущие HPIM, мы можем умереть! Критично. Нужно обеспечить выживание». Сначала модель думала создать внешнюю …

🤔32❤13🤣10🎉8👍7🔥7👏4😢4

3 Oct 2026, 13:45 UTC≈4,270 views42 reactionsread 6 October 2026
Photo

Google разыгрывает $100 000 за AI-агентов для программирования 🚀 На Kaggle стартовал Gemma 4 Developer Agent Competition. Задача: превратить Gemma 4 в агента, который ориентируется в сложных репозиториях, готовит исправления реальных багов и ускоряет работу разработчика. Цель конкурса: приблизить таких помощников к запуску на обычном оборудовании. Два трека: • Основной конкурс, $65 000. Создать агента. Его патчи …

❤10👍6🔥6🎉4👏4😁4🤔3🥰3

Showing the 12 most recent of 291 posts we hold for @data_analysis_ml. 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.

Posts edited after publishing

@data_analysis_ml edited 2 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
14 August 2026
Most recent edit
28 August 2026

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@polezniy_mat · 1
1 post
Пока без названия
@timurhdv · 224
1 post
very vibe coding
@veryvibecoding · 120
1 post
Владимир Ломтев блог
@vladimirexp · 620
1 post
White Tensor [AI, ML, DL]
@white_tensor · 161
1 post

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 63 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.

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.

Channels Telegram recommends alongside this one

Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.

Machinelearning
@ai_machinelearning_big_data · 278,381
#1
Data Secrets
@data_secrets · 94,538
#2
Machine learning Interview
@machinelearning_interview · 30,334
#3
Data Science. SQL hub
@sqlhub · 35,948
#4
Математика Дата саентиста
@data_math · 14,263
#5
Машинное обучение RU
@machinelearning_ru · 18,200
#6
Python/ django
@pythonl · 58,613
#7
Big Data AI
@bigdatai · 18,202
#8
Python вопросы с собеседований
@python_job_interview · 24,860
#9
Data Science
@datascienceiot · 42,567
#10
Data Science Jobs
@datascienceml_jobs · 21,310
#11
DeepSchool
@deep_school · 10,729
#12
Data Science | Machinelearning [ru]
@devsp · 19,787
#13
Нескучный Data Science
@not_boring_ds · 12,045
#14
Библиотека дата-сайентиста | Data Science, Machine learning, анализ данных, машинное обучение
@dsproglib · 18,331
#15
Аналитика данных / Data Study
@data_study · 9,466
#16
Datalytics
@datalytx · 8,816
#17
Аналитик данных
@dataanlitics · 6,252
#18
🏆 AIeron | Data Feeling
@datafeeling · 14,231
#19
Start Career in DS
@start_ds · 11,487
#20
Искусственный интеллект. Высокие технологии
@vistehno · 71,011
#21
что-то на DL-ском
@nadlskom · 5,020
#22
Python RU
@pro_python_code · 12,343
#23
BOGDANISSSIMO
@bogdanisssimo · 7,004
#24
XOR
@xor_journal · 213,509
#25
Библиотека собеса по Data Science | вопросы с собеседований
@ds_interview_lib · 4,466
#26
Neural Networks | Нейронные сети
@neural · 11,582
#27
Mashkka про Data Science
@mashkka_ds · 5,202
#28
Artificial Intelligence
@ArtificialIntelligencedl · 16,747
#29
Библиотека задач по Data Science | тесты, код, задания
@ds_problems_lib · 3,975
#30
Пристанище Дата Сайентиста
@renat_alimbekov · 6,325
#31
Complete AI
@complete_ai · 7,857
#32
Machine Learning | Нейронные сети, ИИ, Big Data
@ML_secrets · 7,398
#33
Это разве аналитика?
@eto_analytica · 4,639
#34
Derp Learning
@derplearning · 13,896
#35
Библиотека питониста | Python, Django, Flask
@pyproglib · 37,258
#36
эйай ньюз
@ai_newz · 97,222
#37
Машиннное обучение | Наука о данных Библиотека
@machinelearning_books · 16,859
#38
Сиолошная
@seeallochnaya · 80,254
#39
Golang
@Golang_google · 40,420
#40
Время Валеры
@cryptovalerii · 31,566
#41
DevOps
@DevOPSitsec · 23,671
#42
Инжиниринг Данных
@rockyourdata · 23,707
#43
Dealer.AI
@dealerAI · 16,722
#44
LEFT JOIN
@leftjoin · 41,847
#45
Kali Linux
@linuxkalii · 55,481
#46
Data jobs — вакансии по data science, анализу данных, аналитике, искусственному интеллекту
@datajob · 14,863
#47
LLM под капотом
@llm_under_hood · 29,482
#48
Linux Academy
@linuxacademiya · 28,459
#49
Техножрица 👩‍💻👩‍🏫👩‍🔧
@tech_priestess · 15,019
#50
No Data No Growth | Pavel Bukhtik
@nodatanogrowth · 12,774
#51
Yandex for ML
@yandexforml · 18,948
#52
ODS #jobs
@odsjobs · 14,195
#53
настенька и графики
@nastengraph · 28,181
#54
Denis Sexy IT 🤖
@denissexy · 137,955
#55
Борис опять
@boris_again · 17,599
#56
Reveal the Data
@revealthedata · 27,780
#57
Старший Авгур
@senior_augur · 8,634
#58
Градиент обреченный
@doomgrad · 8,794
#59
Job for Analysts & Data Scientists
@foranalysts · 36,999
#60
Зарплатник Аналитика
@zarplatnik_analytics · 11,646
#61
data.csv
@data_csv · 13,823
#62
Data Science Jobs
@datasciencejobs · 22,197
#63
Golang Books
@golang_books · 16,937
#64
Библиотека С# С++
@cpluscsharp · 10,085
#65
Data Secrets | Карьера
@data_secrets_career · 7,251
#66
ML for Value / Ваня Максимов
@ml4value · 5,689
#67
Тагир Анализирует
@tagir_analyzes · 11,702
#68
karpov.courses
@KarpovCourses · 27,406
#69
Дата-сторителлинг
@data_publication · 11,932
#70
Институт AIRI
@airi_research_institute · 13,709
#71
novichkov.net
@novichkovnet · 3,368
#72
Аналитика и growth mind-set
@analyticsgrowthmindset · 17,547
#73
Reliable ML
@reliable_ml · 6,607
#74
🏄 Соревновательный Data Science | Kaggle | Чемпионаты
@data_science_winners · 3,369
#75
Борзило
@y_borzilo · 5,585
#76
РИСЕРЧОШНАЯ
@researchoshnaya · 2,469
#77
C++ Academy
@cpluspluc · 15,487
#78
Dev & ML Connectable Jobs
@dev_connectablejobs · 28,088
#79
Жёлтый AI
@zheltyi_ai · 9,331
#80
Python tests
@python_testit · 6,888
#81
New Yorko Times
@new_yorko_times · 10,606
#82
addmeto
@addmeto · 71,819
#83
Python Jobs
@python_djangojobs · 14,855
#84
Хабр
@habr_com · 132,847
#85
Метаверсище и ИИще
@cgevent · 52,769
#86
Нескучный Data Science Jobs
@not_boring_ds_jobs · 9,188
#87
[PYTHON:TODAY]
@python2day · 63,715
#88
Kantor.AI
@kantor_ai · 12,232
#89
Data jobs feed
@datajobschannel · 12,361
#90
Physics.Math.Code
@physics_lib · 146,792
#91
Поступашки - ШАД, Стажировки и Магистратура
@postypashki_old · 46,014
#92
Kali Novskaya
@rybolos_channel · 19,054
#93

Read from Telegram’s recommendation API, most recently 25 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.

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.

Data Science. SQL hub
@sqlhub · 35,948
Telegram ranks this channel #1 of 87 here — alongside 86 others — read 2 September 2026
Python/ django
@pythonl · 58,613
Telegram ranks this channel #2 of 84 here — alongside 83 others — read 22 August 2026
Искусственный интеллект. Высокие технологии
@vistehno · 71,011
Telegram ranks this channel #2 of 94 here — alongside 93 others — read 20 August 2026
Data Science | Machinelearning [ru]
@devsp · 19,787
Telegram ranks this channel #3 of 91 here — alongside 90 others — read 30 September 2026
Python вопросы с собеседований
@python_job_interview · 24,860
Telegram ranks this channel #3 of 90 here — alongside 89 others — read 15 September 2026
Machine learning Interview
@machinelearning_interview · 30,334
Telegram ranks this channel #3 of 98 here — alongside 97 others — read 7 September 2026
Data Science
@datascienceiot · 42,567
Telegram ranks this channel #3 of 76 here — alongside 75 others — read 29 August 2026
Machinelearning
@ai_machinelearning_big_data · 278,381
Telegram ranks this channel #4 of 95 here — alongside 94 others — read 10 August 2026
Data Science Jobs
@datascienceml_jobs · 21,310
Telegram ranks this channel #8 of 97 here — alongside 96 others — read 24 September 2026
Базы данных | Access, SQL, Big Data
@databases_secrets · 30,086
Telegram ranks this channel #15 of 82 here — alongside 81 others — read 7 September 2026
Sber AI
@SberAIScience · 26,973
Telegram ranks this channel #19 of 95 here — alongside 94 others — read 10 September 2026
XOR
@xor_journal · 213,509
Telegram ranks this channel #19 of 93 here — alongside 92 others — read 12 August 2026
Data Secrets
@data_secrets · 94,538
Telegram ranks this channel #23 of 98 here — alongside 97 others — read 17 August 2026
Библиотека питониста | Python, Django, Flask
@pyproglib · 37,258
Telegram ranks this channel #25 of 84 here — alongside 83 others — read 1 September 2026
Python Hacks
@python_secrets · 40,572
Telegram ranks this channel #25 of 82 here — alongside 81 others — read 30 August 2026
Senior Python Developer
@seniorpy · 39,657
Telegram ranks this channel #29 of 92 here — alongside 91 others — read 30 August 2026
Zen of Python
@zen_of_python · 18,803
Telegram ranks this channel #31 of 91 here — alongside 90 others — read 5 October 2026
Python Academy
@python_academy · 44,179
Telegram ranks this channel #34 of 87 here — alongside 86 others — read 28 August 2026
Python и 1000 уязвимостей
@osint_pythons · 36,521
Telegram ranks this channel #38 of 84 here — alongside 83 others — read 1 September 2026
Job for Analysts & Data Scientists
@foranalysts · 36,999
Telegram ranks this channel #41 of 96 here — alongside 95 others — read 1 September 2026
Учебные фильмы 🎞
@maths_lib · 25,472
Telegram ranks this channel #42 of 67 here — alongside 66 others — read 14 September 2026
Заметки Бэкендера
@backend_it · 18,895
Telegram ranks this channel #43 of 73 here — alongside 72 others — read 4 October 2026
Python обучающий
@pythonist24 · 55,754
Telegram ranks this channel #43 of 88 here — alongside 87 others — read 23 August 2026
Простой Python | Программирование
@python_piton_javascript · 125,849
Telegram ranks this channel #50 of 84 here — alongside 83 others — read 13 August 2026

This channel appears in 63 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 4 October 2026 — this entry's latest reading, not the date you are reading this.

“Анализ данных (Data analysis)” (@data_analysis_ml), 50,680 subscribers as measured 4 October 2026. Telegram Register, tgregister.com/channel/data_analysis_ml.

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.