@haarrp - админ
Вопросы с собеседований по Machine Learning, Data Science, Deep Learning и Нейроннным сетям
@data_analysis_ml - анализ данных
@ai_machinelearning_big_data
@itchannels_telegram - важное для программиста
РКН: clck.ru/3Fmqxe
Created
Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
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 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
60 measurements spanning 97 days, net +159. 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 18,098–18,407 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 60
Measured (UTC)
Subscribers
Change
10 Nov 2026, 20:37
18,329
-2
9 Nov 2026, 06:37
18,331
-9
7 Nov 2026, 20:01
18,340
-7
6 Nov 2026, 19:47
18,347
-4
5 Nov 2026, 18:40
18,351
-1
3 Nov 2026, 16:08
18,352
+1
2 Nov 2026, 14:41
18,351
-2
1 Nov 2026, 13:46
18,353
-3
31 Oct 2026, 11:16
18,356
-4
30 Oct 2026, 08:29
18,360
-10
29 Oct 2026, 06:28
18,370
+4
28 Oct 2026, 01:45
18,366
+1
27 Oct 2026, 01:47
18,365
-3
25 Oct 2026, 23:56
18,368
-1
25 Oct 2026, 02:47
18,369
-2
24 Oct 2026, 04:57
18,371
+1
23 Oct 2026, 08:05
18,370
+7
22 Oct 2026, 05:27
18,363
+106
20 Oct 2026, 22:39
18,257
+3
19 Oct 2026, 17:58
18,254
first reading
Engagement
80 posts held, back to 9 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 72 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
7.82%
avg views ÷ 18,329 subscribers
Avg views / post
1,430
26 posts measured
Reaction rate
0.719%
reactions ÷ views · ER floor
Posts in window
26
of 80 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 24 of 26 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 10 November 2026
Posts held
80 (9 July 2026 – 10 November 2026)
Views total
37,257
Reactions total
249
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
11 Nov 2026, 04:17 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
≈1,190
Videos
≈174
Links
≈1,180
Lifetime counters from Telegram’s own channel header, read 11 November 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
11m 30s
Average length
1m 03s
Measured directly from 11 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
623 reactions across 73 posts, in 20 distinct kinds. The most used accounts for 31.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
194
31.1%
👍
138
22.2%
😁
115
18.5%
🔥
59
9.47%
🤣
30
4.82%
🤡
13
2.09%
🥰
13
2.09%
💯
10
1.61%
🙈
9
1.44%
👎
8
1.28%
🤔
8
1.28%
🙏
5
0.803%
🍌
4
0.642%
👀
3
0.482%
💩
3
0.482%
😢
3
0.482%
⚡
2
0.321%
👾
2
0.321%
🤮
2
0.321%
🥱
2
0.321%
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 75 of the 80 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 637 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 80 most recent posts we hold, published 9 July 2026 to 10 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.
Advertising
Ad load
7.50%
6 of 80 posts carry an ad marker
Regulatory tokens
6
posts carrying an erid · 6 distinct tokens
Median views · ads
1,190
over 6 measured posts
Median views · rest
1,450
over 74 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
erid
Posts
First seen
Last seen
2VtzqxRy2AP
1
18 August 2026
18 August 2026
2VtzqxjjqGo
1
13 August 2026
13 August 2026
2W5zFGFYJC9
1
1 September 2026
1 September 2026
2W5zFGPkyMb
1
20 October 2026
20 October 2026
2W5zFGUGZzq
1
17 August 2026
17 August 2026
2W5zFJtGMPF
1
18 August 2026
18 August 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 80 most recent posts we hold, published 9 July 2026 to 10 November 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
Telegram’s own ‘edited’ marker: 0 of 26 posts held from the last 30 days (0%) 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).
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❤6👍4
Showing the 12 most recent of 80 posts we hold for @bigdatai. 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.
Forward network
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.
Mentions
Named by 57 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.
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.
Handles this channel named that no longer answer
Dead references
3
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
3
vacant every time we have ever looked
@bigdatai named 3 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@fizmat named in 4 posts, 8 August 2026 – 13 August 2026
@front named in 4 posts, 8 August 2026 – 13 August 2026
@kubernetc named in 4 posts, 8 August 2026 – 13 August 2026
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 · 36,025 Telegram ranks this channel #6 of 87 here — alongside 86 others — read 2 September 2026
Python вопросы с собеседований @python_job_interview · 24,906 Telegram ranks this channel #7 of 90 here — alongside 89 others — read 15 September 2026
Data Science @datascienceiot · 42,496 Telegram ranks this channel #7 of 76 here — alongside 75 others — read 29 August 2026
Анализ данных (Data analysis) @data_analysis_ml · 51,923 Telegram ranks this channel #8 of 93 here — alongside 92 others — read 25 August 2026
Искусственный интеллект. Высокие технологии @vistehno · 70,139 Telegram ranks this channel #8 of 94 here — alongside 93 others — read 20 August 2026
Data Science | Machinelearning [ru] @devsp · 19,659 Telegram ranks this channel #11 of 91 here — alongside 90 others — read 30 September 2026
Python/ django @pythonl · 58,287 Telegram ranks this channel #13 of 84 here — alongside 83 others — read 22 August 2026
Data Science Jobs @datascienceml_jobs · 21,642 Telegram ranks this channel #17 of 97 here — alongside 96 others — read 24 September 2026
Machine learning Interview @machinelearning_interview · 30,560 Telegram ranks this channel #19 of 98 here — alongside 97 others — read 7 September 2026
Магия Excel @lemur_excel · 49,850 Telegram ranks this channel #35 of 95 here — alongside 94 others — read 25 August 2026
Machinelearning @ai_machinelearning_big_data · 275,659 Telegram ranks this channel #37 of 95 here — alongside 94 others — read 10 August 2026
DevOps @DevOPSitsec · 23,892 Telegram ranks this channel #64 of 90 here — alongside 89 others — read 18 September 2026
Базы данных | Access, SQL, Big Data @databases_secrets · 30,012 Telegram ranks this channel #65 of 82 here — alongside 81 others — read 7 September 2026
DataFlair @dataflair · 18,577 Telegram ranks this channel #66 of 83 here — alongside 82 others — read 4 October 2026
Linux Academy @linuxacademiya · 28,647 Telegram ranks this channel #76 of 84 here — alongside 83 others — read 9 September 2026
Golang @Golang_google · 40,453 Telegram ranks this channel #79 of 90 here — alongside 89 others — read 30 August 2026
Kali Linux @linuxkalii · 55,842 Telegram ranks this channel #79 of 89 here — alongside 88 others — read 23 August 2026
This channel appears in 17 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 10 November 2026 — this
entry's latest reading, not the date you are reading this.
“Big Data AI” (@bigdatai), 18,329 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/bigdatai.
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.