Telegram RegisterThe public register of Telegram
Telegram profile photo for karpov.courses

Channel

karpov.courses

@KarpovCourses

Verified by Telegram

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts recorded as deleted · Citations · Telegram's recommendations · Cite this entry

27,307subscribers

-236 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001430200876
TypeChannel
Username@KarpovCourses
Created19 June 2020 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live5 November 2026
Measurements held58
Confirmed unchanged1 time, most recently 5 November 2026
On Telegramt.me/KarpovCourses

Topic

Education — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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 the other topics.

Growth

27,30727,54327,4256 August 2026 — 27,543 subscribers7 August 2026 — 27,543 subscribers8 August 2026 — 27,535 subscribers9 August 2026 — 27,534 subscribers10 August 2026 — 27,530 subscribers11 August 2026 — 27,525 subscribers12 August 2026 — 27,531 subscribers13 August 2026 — 27,528 subscribers14 August 2026 — 27,527 subscribers16 August 2026 — 27,519 subscribers17 August 2026 — 27,508 subscribers18 August 2026 — 27,507 subscribers19 August 2026 — 27,504 subscribers20 August 2026 — 27,501 subscribers21 August 2026 — 27,511 subscribers22 August 2026 — 27,512 subscribers24 August 2026 — 27,509 subscribers25 August 2026 — 27,506 subscribers27 August 2026 — 27,507 subscribers28 August 2026 — 27,509 subscribers29 August 2026 — 27,498 subscribers30 August 2026 — 27,481 subscribers31 August 2026 — 27,479 subscribers1 September 2026 — 27,469 subscribers2 September 2026 — 27,462 subscribers4 September 2026 — 27,467 subscribers6 September 2026 — 27,454 subscribers9 September 2026 — 27,462 subscribers12 September 2026 — 27,456 subscribers13 September 2026 — 27,444 subscribers15 September 2026 — 27,435 subscribers17 September 2026 — 27,430 subscribers25 September 2026 — 27,446 subscribers3 October 2026 — 27,406 subscribers8 October 2026 — 27,397 subscribers12 October 2026 — 27,377 subscribers14 October 2026 — 27,379 subscribers15 October 2026 — 27,376 subscribers16 October 2026 — 27,369 subscribers17 October 2026 — 27,365 subscribers18 October 2026 — 27,359 subscribers19 October 2026 — 27,358 subscribers20 October 2026 — 27,362 subscribers21 October 2026 — 27,348 subscribers22 October 2026 — 27,363 subscribers23 October 2026 — 27,353 subscribers24 October 2026 — 27,349 subscribers25 October 2026 — 27,347 subscribers26 October 2026 — 27,338 subscribers27 October 2026 — 27,336 subscribers28 October 2026 — 27,334 subscribers29 October 2026 — 27,328 subscribers30 October 2026 — 27,325 subscribers1 November 2026 — 27,324 subscribers2 November 2026 — 27,311 subscribers3 November 2026 — 27,307 subscribers4 November 2026 — 27,310 subscribers5 November 2026 — 27,307 subscribers6 August 20265 November 2026
58 measurements spanning 91 days, net -236. 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 27,272–27,578 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 58
Measured (UTC)SubscribersChange
5 Nov 2026, 20:5627,307-3
4 Nov 2026, 19:5427,310+3
3 Nov 2026, 01:2727,307-4
2 Nov 2026, 02:0927,311-13
1 Nov 2026, 04:3827,324-1
30 Oct 2026, 07:3627,325-3
29 Oct 2026, 09:5927,328-6
28 Oct 2026, 09:2727,334-2
27 Oct 2026, 10:5527,336-2
26 Oct 2026, 12:3727,338-9
25 Oct 2026, 13:2627,347-2
24 Oct 2026, 16:2627,349-4
23 Oct 2026, 17:4027,353-10
22 Oct 2026, 16:3627,363+15
21 Oct 2026, 11:4127,348-14
20 Oct 2026, 09:0627,362+4
19 Oct 2026, 09:1527,358-1
18 Oct 2026, 11:0727,359-6
17 Oct 2026, 14:3927,365-4
16 Oct 2026, 12:4627,369first reading

Engagement

116 posts held, back to 30 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 142 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
9.84%
avg views ÷ 27,307 subscribers
Avg views / post
2,690
39 posts measured
Reaction rate
0.329%
reactions ÷ views · ER floor
Posts in window
41
of 116 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. It is computed over the 37 of 39 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 5 November 2026
Posts held116 (30 July 2026 – 5 November 2026)
Views total104,780
Reactions total326
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken5 Nov 2026, 16:52 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

Video runtime
5m 38s
Average length
1m 25s

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.

Reaction mix

1,014 reactions across 106 posts, in 13 distinct kinds. The most used accounts for 33.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤33933.4%
custom 544540352637099293721020.7%
😁15915.7%
🔥14514.3%
custom 5445061088628486272888.68%
👍252.47%
custom 5280503514081042965171.68%
🎉111.08%
👏111.08%
😎30.296%
😢30.296%
🤯20.197%
😱10.099%

Custom emoji. 3 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them are Telegram’s.

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 110 of the 116 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 1,014 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 116 most recent posts we hold, published 30 July 2026 to 5 November 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.

Recent posts

Telegram’s own ‘edited’ marker: 2 of 41 posts held from the last 30 days (4.88%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

5 Nov 2026, 14:37 UTC800 views6 reactionsread 5 November 2026
Photo

Два дня, 100+ докладов и тысячи возможностей для нетворкинга Все это ждет вас на Матемаркетинге — технической конференции для аналитиков, маркетологов и продакт-менеджеров. Своим опытом работы с ИИ-решениями поделятся эксперты крупных компаний: VK, Avito Tech, Сбера, Т-Банка, Magnit Tech и других. Организатор конференции разыгрывает 5 билетов на Матемаркетинг среди студентов и выпускников karpovꓸcourses. Как приня…

❤5custom 54454035263709929371

5 Nov 2026, 09:43 UTC≈1,400 views25 reactionsread 5 November 2026
Video

Выбираем победителей нашего розыгрыша! Рандомайзер определил 5 победителей: Гришин Алексей — получает iPhone 17 Pro Остальные победители получают возможность пройти один из наших курсов на выбор: Шучалин Григорий Василенко Александр Голубцов Дмитрий Гришко Елена Поздравляем с победой! Вы можете выбрать любой курс из нижеперечисленных: ✔️ Продвинутое машинное обучение 1 блок ✔️ Superset: создание дашбордов для б…

🔥13❤8custom 54454035263709929374

4 Nov 2026, 09:08 UTC≈1,820 views2 reactionsread 5 November 2026
Photo

Что подготовил ноябрь? Тьму и серость? Ой, не надо! Лучше загляните в расписание стартов этого месяца. На все курсы* и комбо действует скидка 25%. И раз ученье – свет, берите промокод BF25 и идите к свету. А мы вас там встретим и поддержим на пути к новой образовательной цели. 📍 Выбрать курс *кроме программ с вузами и курса «ML Design: Основы проектирования систем машинного обучения и ИИ-систем» с Валерием Бабушки…

custom 54454035263709929372

3 Nov 2026, 14:02 UTC≈1,930 views5 reactionsread 5 November 2026
Photo

Потратить неделю на проверку архитектуры или несколько месяцев на ее переделку? Ошибки в ML дешевле исправлять до разработки. В карточках объясняем, как в этом помогает дизайн-документ. А если хотите научиться работать с ним на практике, приходите на курс c Валерием Бабушкиным «ML Design: основы проектирования систем машинного обучения и ИИ-систем». Программа будет полезна: ✔️ ML-инженерам и специалистам по Data Sc…

🔥2custom 54450610886284862722❤1

2 Nov 2026, 15:12 UTC≈2,240 views5 reactionsread 5 November 2026
Photo

Чёрная пятница продолжается, и мы увеличили скидку: теперь все курсы и комбо можно купить на 25% дешевле 🔥 Выбирайте программу, используйте скидку и начинайте осваивать новую профессию или навыки на выгодных условиях. Главное, больше не медлить — ведь скидка Чёрной пятницы не будет работать бесконечно. Помощь с выбором курса или комбо 👉🏻 @salesteam_kc Выбрать самостоятельно *кроме программ с вузами и курса «ML Des…

❤5

1 Nov 2026, 13:38 UTC≈2,650 views8 reactionsread 5 November 2026
Photo

Чем системный аналитик отличается от проджект-менеджера? Если вам трудно ответить на этот вопрос, а очень бы хотелось, чтобы обстоятельно выбрать направление аналитики, приходите на вебинар. Системный аналитик в 2026: как войти в профессию, когда код пишет ИИ Спикер встречи через свою историю карьеры расскажет про главные аспекты профессии: как проходят интервью со стейкхолдерами, процесс в BPMN, что такое сценарии…

❤3🔥3custom 54454035263709929372

1 Nov 2026, 10:16 UTC≈2,450 views2 reactionsread 5 November 2026

Напоминаем, что сегодня последний день, когда вы можете поучаствовать в розыгрыше и получить iPhone 17 Pro или возможность пройти один из наших курсов 🔥

🔥2

29 Oct 2026, 15:55 UTC≈3,140 views7 reactionsread 5 November 2026
Photo

Два инструмента для работы с данными — две программы karpovꓸcourses Данные сами по себе не решают задачи бизнеса. Важно уметь быстро их обрабатывать и превращать в понятные выводы. Для этого есть инструменты ClickHouse и Superset. Первый помогает эффективно анализировать большие объемы данных, второй — представлять результаты в виде интерактивных дашбордов. У нас есть отдельные курсы по каждому инструменту — в карт…

custom 54454035263709929373❤2🔥2

29 Oct 2026, 08:55 UTC≈2,750 views9 reactionsread 5 November 2026

Осталось 3 дня, чтобы побороться за iPhone 17 Pro 😉 Снимите видео-отзыв о курсе и заполните анкету до 1 ноября включительно. Разыгрываем iPhone, бесплатное обучение, а скидку 30% и мерч получат все участники 🧡

🔥3custom 54450610886284862723custom 54454035263709929373

27 Oct 2026, 16:09 UTC≈2,710 views10 reactionsread 5 November 2026
Photo

Как ускорить рост в ML? Многие спрашивали об этом Валерия Бабушкина на вебинаре «ML без прикрас: как вырасти до сеньора и не завалить system design». Отвечаем на ваши вопросы в карточках. Даже опытным ML-инженерам часто не хватает одного навыка — умения видеть систему целиком. Именно его проверяют на технической секции в крупных компаниях. Освоить этот навык на практике можно на нашем курсе «ML Design: основы прое…

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27 Oct 2026, 09:06 UTC≈3,160 views18 reactionsread 3 November 2026
Photo

Поделитесь, как прошло обучение, — и выиграйте iPhone 17 Pro Мы проводим розыгрыш для студентов karpovꓸcourses 🎉 Главный приз — iPhone 17 Pro 256GB оранжевого цвета. Ещё 4 участника получат бесплатное обучение на одном из наших курсов. А все, кто выполнит условия, получат скидку 30% на обучение* и мерч — отправим в любой город России. Что нужно сделать: ✔️ снять видео-отзыв о курсе: почему пришли, что изменилось,…

🔥10❤7custom 54454035263709929371

Showing the 12 most recent of 116 posts we hold for @KarpovCourses. 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.

Posts recorded as deleted after publishing

We recorded 1 post on @KarpovCourses as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
1 November 2026
Most recent seen missing
1 November 2026
Median time before seen missing
2 days
Seen missing in the last 30 days
1

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 6 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.

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.

Время Валеры
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No Data No Growth | Pavel Bukhtik
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#2
Глеб Михайлов
@mikhaylovgleb · 14,233
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Сиолошная
@seeallochnaya · 81,039
#4
Reveal the Data
@revealthedata · 27,710
#5
Инжиниринг Данных
@rockyourdata · 23,686
#6
LEFT JOIN
@leftjoin · 41,531
#7
Нескучный Data Science
@not_boring_ds · 12,078
#8
Data Secrets
@data_secrets · 95,989
#9
Start Career in DS
@start_ds · 11,470
#10
Data jobs — вакансии по data science, анализу данных, аналитике, искусственному интеллекту
@datajob · 15,099
#11
Тагир Анализирует
@tagir_analyzes · 11,658
#12
Борзило
@y_borzilo · 5,537
#13
Продакт аналитикс
@productanalyticsfordummies · 9,394
#14
🏆 AIeron | Data Feeling
@datafeeling · 14,210
#15
Аналитика и growth mind-set
@analyticsgrowthmindset · 17,408
#16
Заскуль питона (Аналитика данных)
@zasql_python · 8,991
#17
Datalytics
@datalytx · 8,788
#18
Борис опять
@boris_again · 17,967
#19
Yandex for ML
@yandexforml · 19,129
#20
Kantor.AI
@kantor_ai · 12,212
#21
Machinelearning
@ai_machinelearning_big_data · 276,342
#22
Аналитика данных / Data Study
@data_study · 9,432
#23
РИСЕРЧОШНАЯ
@researchoshnaya · 2,463
#24
ANDRON ALEXANYAN
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DeepSchool
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Avito Data Tech
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Я твой продукт анализировал
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Denis Sexy IT 🤖
@denissexy · 140,346
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Data Coffee
@datacoffee · 2,633
#41
Мир аналитика данных
@analysts_world · 4,594
#42
Data Secrets | Карьера
@data_secrets_career · 7,384
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This is Data
@thisisdata · 6,167
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Аналитик сюра
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Математика Дата саентиста
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LEFT JOIN Insider
@leftjoin_insider · 1,424
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PyMagic
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Симулейтив
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Data Nature 🕊
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#51
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Пристанище Дата Сайентиста
@renat_alimbekov · 6,290
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GoPractice!
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#56
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Лаборатория данных
@datalaboratory · 3,095
#59
Chad Protocol - карьера, IT, успех
@chad_protocol · 12,277
#60
ODS Events
@datafest · 8,850
#61
Data Analytics Jobs | Вакансии
@data_hr · 11,143
#62
Data Science Jobs
@datascienceml_jobs · 21,625
#63
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@senatorov_head · 2,137
#64
Дата-сторителлинг
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#65
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@latech · 11,508
#66
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Коля Валиотти • Дата консалтинг
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@rybolos_channel · 19,133
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Клуб анонимных аналитиков
@analyst_club · 33,340
#70
Зарплатник Аналитика
@zarplatnik_analytics · 11,697
#71
настенька и графики
@nastengraph · 28,084
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ODS #jobs
@odsjobs · 14,545
#73
эйай ньюз
@ai_newz · 98,191
#74
Крис про аналитику🧠🦾
@kris_the_analyst · 4,458
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Job for Analysts & Data Scientists
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@dev_connectablejobs · 28,996
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#80
Поступашки - ШАД, Стажировки и Магистратура
@postypashki_old · 47,060
#81
Noukash
@noukashblog · 21,611
#82
from:adam
@c3po_notes · 6,864
#83
Это считается
@eto_schitaetsya · 4,281
#84
Техножрица 👩‍💻👩‍🏫👩‍🔧
@tech_priestess · 15,111
#85
Connectable Jobs
@zarubezhom_jobs · 106,166
#86
Записки Ппилифа
@ppilif_chanel · 4,495
#87
Дашбордец
@dashboardets · 8,800
#88
kyrillic
@kyrillic · 61,210
#89
Дудь
@yurydud · 851,224
#90
Вадим Новосёлов | Карьера и удалёнка в IT
@gernar228 · 5,698
#91
Young&&Yandex
@Young_and_Yandex · 112,984
#92
Чартомойка
@chartomojka · 14,791
#93
Канал Алексея Куличевского
@kulichevskiy · 3,424
#94
Не AБы какие тесты
@abba_testing · 1,817
#95
Медуза — LIVE
@meduzalive · 1,118,113
#96

Read from Telegram’s recommendation API, most recently 10 September 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.

Reveal the Data
@revealthedata · 27,710
Telegram ranks this channel #13 of 96 here — alongside 95 others — read 10 September 2026
Клуб анонимных аналитиков
@analyst_club · 33,340
Telegram ranks this channel #13 of 96 here — alongside 95 others — read 4 September 2026
LEFT JOIN
@leftjoin · 41,531
Telegram ranks this channel #20 of 95 here — alongside 94 others — read 29 August 2026
Инжиниринг Данных
@rockyourdata · 23,686
Telegram ranks this channel #24 of 93 here — alongside 92 others — read 17 September 2026
Время Валеры
@cryptovalerii · 32,016
Telegram ranks this channel #25 of 94 here — alongside 93 others — read 6 September 2026
Data Science Jobs
@datasciencejobs · 22,544
Telegram ranks this channel #33 of 93 here — alongside 92 others — read 21 September 2026
Job for Analysts & Data Scientists
@foranalysts · 37,758
Telegram ranks this channel #40 of 96 here — alongside 95 others — read 1 September 2026
Поколение Python 🐍
@pygen_ru · 50,325
Telegram ranks this channel #44 of 93 here — alongside 92 others — read 25 August 2026
Яндекс Практикум
@yndx_practicum · 33,888
Telegram ranks this channel #48 of 97 here — alongside 96 others — read 3 September 2026
Data Science. SQL hub
@sqlhub · 36,052
Telegram ranks this channel #56 of 87 here — alongside 86 others — read 2 September 2026
Data Science Jobs
@datascienceml_jobs · 21,625
Telegram ranks this channel #57 of 97 here — alongside 96 others — read 24 September 2026
Stepik – онлайн-курсы
@stepik_courses · 28,924
Telegram ranks this channel #57 of 93 here — alongside 92 others — read 16 September 2026
настенька и графики
@nastengraph · 28,084
Telegram ranks this channel #59 of 94 here — alongside 93 others — read 9 September 2026
Noukash
@noukashblog · 21,611
Telegram ranks this channel #65 of 95 here — alongside 94 others — read 23 September 2026
Yandex for ML
@yandexforml · 19,129
Telegram ranks this channel #67 of 96 here — alongside 95 others — read 4 October 2026
Анализ данных (Data analysis)
@data_analysis_ml · 51,924
Telegram ranks this channel #69 of 93 here — alongside 92 others — read 25 August 2026
Machine learning Interview
@machinelearning_interview · 30,575
Telegram ranks this channel #80 of 98 here — alongside 97 others — read 7 September 2026
Data Science | Machinelearning [ru]
@devsp · 19,682
Telegram ranks this channel #84 of 91 here — alongside 90 others — read 30 September 2026

This channel appears in 18 seed channels' Telegram-generated recommendation lists in total. 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 5 November 2026 — this entry's latest reading, not the date you are reading this.

“karpov.courses” (@KarpovCourses), 27,307 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/KarpovCourses.

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.