Telegram RegisterThe public register of Telegram

Channel

CV muhandis kundaligi

@learncvuz

On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Cite this entry

231subscribers

+0 since we began measuring on 8 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1001849275292
TypeChannel
Username@learncvuz
CreatedBetween 1 October 2022 and 31 August 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live9 August 2026
Measurements held2
Confirmed unchanged1 time, most recently 9 August 2026
On Telegramt.me/learncvuz

Growth

2318 Aug 2026, 15:46 — 231 subscribers9 Aug 2026, 08:50 — 231 subscribers8 Aug 2026, 15:469 Aug 2026, 08:50
2 measurements taken within a single day. 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 230–232 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
9 Aug 2026, 08:50231no change
8 Aug 2026, 15:46231first reading

Engagement

20 posts held, back to 27 December 2025the 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 23 January 2026. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Video runtime
1m 11s
Average length
24s

Measured directly from 3 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

234 reactions across 20 posts, in 9 distinct kinds. The most used accounts for 50.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥11950.9%
👍5222.2%
😁208.55%
114.70%
🏆114.70%
❤‍🔥104.27%
🤣93.85%
👎10.427%
💘10.427%

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 20 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 234reactions 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 27 December 2025 to 23 January 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
6
across the posts below
Posts paid on
3
of 20 we hold a reading for · 15%
Most on one post
3
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @learncvuz. 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 20 most recent posts we hold for this entry, published 27 December 2025 to 23 January 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.

Recent posts

23 Jan 2026, 15:58 UTC523 views12 reactionsread 8 August 2026
Forwarded from @JR_TwitGramPhoto

ggwp

👍7🏆2🔥2👎1

18 Jan 2026, 10:06 UTC≈4,400 views15 reactions2 Starsread 8 August 2026

AI/ML intervyularga tayyorgarlik ko'ryapsizmi? Quyida amalda eng ko‘p yordam beradigan 9 ta GitHub repo: All algorithms implemented in Python (217k ⭐️) https://github.com/TheAlgorithms/Python Awesome Machine Learning (71.2k ⭐️) https://github.com/josephmisiti/awesome-machine-learning Machine Learning interviews from FAANG (11.9k ⭐️) https://github.com/khangich/machine-learning-interview Tech interview handbook (1

🔥11👍3🏆1

14 Jan 2026, 10:00 UTC648 views7 reactions1 Starread 8 August 2026

⚡️ Ultralytics YOLO26 rasman chiqdi (2026-01-14)! Bu relizning markazida bitta g‘oya : edge va low-power qurilmalarda ham production’ga tez va og‘riqsiz chiqish. Men kutgan reliz😁 Nimalar o‘zgardi, asosiy yangiliklar - End-to-end, NMS-free inference: endi klassik NMS post-processing bosqichi yo‘q. Natija: latency kamroq, export va deploy jarayoni soddaroq. - CPU’da 43% gacha tezroq inference: ayniqsa edge senariylar

🔥7

11 Jan 2026, 07:10 UTC405 views8 reactions3 Starsread 8 August 2026
Forwarded from @sariqdevVideo

"Dasturiy ta'minot muhandisining maqsadi — mavjud muammolarni hal qilish va yangi yechim talab etadigan muammolarni topishdir. Kod yozish (coding) esa bu vazifalardan biri, xolos. Shunday ekan, agar maqsadingiz muammoni hal qilish emas, shunchaki kod yozish bo‘lsa — ya'ni kimdir sizga nima qilishni aytadi va siz uni kodga aylantirsangiz... Unday holda, ha, sizning o‘rningizni Sun'iy Intellekt egallashi mumkin. Ammo b

🔥8

7 Jan 2026, 10:44 UTC≈5,070 views14 reactionsread 8 August 2026
Photo

4-yanvardan singulyarlik erasi boshlandi, buni Elon aka aytapti😁 AGI yaqinmi yoki Grok katta "update" bilan chiqadimi, nima deb o'ylaysizlar? Singularity (texnologik singulyarlik): AI va boshqa texnologiyalar juda tez, eksponent sur’atda rivojlanib ketadi, natijada yaqin kelajakdagi o‘zgarishlarni oldindan aniq bashorat qilish (expertlar uchun ham) qiyin bo‘lib qoladi. https://t.me/learncvuz

🔥10👍3🏆1

7 Jan 2026, 07:30 UTC≈3,070 views12 reactionsread 8 August 2026

AI/ML o'rganuvchilar uchun mashhur YouTube kanallar📚. 1️⃣ Andrey Karapty – Learn deep learning straight from a legend 2️⃣ Sebastian Raschka – Clear explanations on ML, PyTorch & research 3️⃣ sentdex – Hands-on Python, ML & practical coding 4️⃣ StatQuest with Josh Starmer – ML & stats made ridiculously simple 5️⃣ Jeremy Howard – Practical deep learning & fast. ai insights 6️⃣ Krish Naik – End-to-end AI, ML & career-f

🔥6👍5🏆1

6 Jan 2026, 12:20 UTC428 views9 reactionsread 8 August 2026

FEATURE DESCRIPTION: Kompyuter ko‘radigan “belgilar tili” 👁📌 Kompyuterlar tasvirni, raqmlar, matritsalar shaklda "ko'rishini" oldingi postlarda gaplashgan edik. Tasvir va undagi obektlarni tanib olish uchun unga ishonchli "ishoralar" kerak. Ana shu ishoralar: features (xususiyatlar, atributlar) deyilad. Model avval feature’larni o‘rganadi, keyin yangi rasmlarda ham shu belgilar orqali tanib oladi. 1) Feature’larni

🔥7🏆1👍1

6 Jan 2026, 05:14 UTC222 views9 reactionsread 8 August 2026
Forwarded from @adkham_zokhirov

"Xarita.ai" loyihasi... Bu shunchaki kurs emas. Sun'iy intellekt olamida o'z yo'lingizni topish uchun interaktiv yo'l xaritasi. Platformada 2 ta asosiy yo'nalish bor: - Dasturchilar uchun - Oddiy Foydalanuvchilar uchun Eng muhimi — bu Community (Hamjamiyat) loyihasi va BEPUL! Hozir kirib, o'z yo'lingizni tanlang va kelajak kasbini egallashni boshlang. 👇 Saytga o'tish: https://xarita.ai Intro Video: https://www.y

🔥5🏆3👍1

4 Jan 2026, 14:41 UTC298 views12 reactionsread 8 August 2026

Tasvirni modelga berishdan oldin nima qilish kerak? Ko‘p hollarda “pre-processing” va “data augmentation” model natijasini bevosita hal qiladi. 1) Digital Image Processing: tasvir ustidagi amallar nimalar? Raqamli tasvir aslida sonlardan iborat matritsa. Demak biz uni turli yo‘llar bilan o‘zgartira olamiz: • Mantiqiy (Logical): AND/OR/XOR, NOT (invert) masalan: mask bilan obyektni ajratish • Statistik (Statisti

🔥5👍4❤‍🔥3

3 Jan 2026, 13:35 UTC251 views10 reactionsread 8 August 2026
Forwarded from @naxalovPhoto

Vibe coding bilan 0 dan 1000$ gacha Natija kafolatlanmaydi, vibe kafolatlangan 😎 Kurs dasturi: 📌 Hech narsa o‘rgatilmaydi 📌 Faqat vibe 📌 Natija — noma’lum 📌 Narx — 1000$ ⏰ Shoshiling! Joylar cheklanmagan ✍️ Ro‘yxatdan o‘tish uchun izohga + qoldiring ⚠️ Barchasi reklama huquqi asosida.

😁7🔥2👍1

3 Jan 2026, 07:27 UTC293 views7 reactionsread 8 August 2026

Ozodbek aka 100% AI generated klip chiqaribdi😁

👍4🔥2🏆1

3 Jan 2026, 07:26 UTC342 views4 reactionsread 8 August 2026

https://www.youtube.com/watch?v=DiQlpiZT-go

🔥2🏆1👍1

Showing the 12 most recent of 20 posts we hold for @learncvuz. 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.

Citation-graph rank

Citation-graph rank — 781,032 of 1,151,006entries 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.

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

Names

Channels on the register whose handles appear in this channel's posts.

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.

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 9 August 2026 — this entry's latest reading, not the date you are reading this.

“CV muhandis kundaligi” (@learncvuz), 231 subscribers as measured 9 August 2026. Telegram Register, tgregister.com/channel/learncvuz.

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.