4 measurements spanning 6 days, net -9. 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 7,093–7,104 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Aug 2026, 13:05
7,094
-2
9 Aug 2026, 23:37
7,096
-7
6 Aug 2026, 23:10
7,103
no change
6 Aug 2026, 19:16
7,103
first reading
Engagement
20 posts held, back to 27 August 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 10 pagesof 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 16 November 2025. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
59s
Average length
59s
Measured directly from 1 video 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
268 reactions across 15 posts, in 13 distinct kinds. The most used accounts for 35.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
94
35.1%
👍
45
16.8%
😢
34
12.7%
💔
26
9.70%
👏
20
7.46%
🤔
16
5.97%
🔥
8
2.99%
🫡
8
2.99%
👌
6
2.24%
🕊
6
2.24%
💯
3
1.12%
👨💻
1
0.373%
🙏
1
0.373%
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 15 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 268reactions 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 August 2023 to 16 November 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.
دیتاساینس بدون بازوی گراف محکوم به مرگ است.
جنازه ی ماشین لرنینگ سنتی روی شانه های استوار گراف دیتاساینس
مطالعه این مقاله برای عزیزان علاقه مند به گراف دیتاساینس پیشنهاد می گردد:
لینک مطالعه در لینکدین
🎖ارتباط با ما
تلگرام | اینستاگرام | یوتیوب | لینکدین
📣استخدام مدرس هوش مصنوعی (حوزه مدلهای زبانی بزرگ، دورکاری)
🎙 طراحی و تدریس دورههای آموزشی در یکی از حوزههای زیرمجموعه مدل های زبانی بزرگ (Large Language Models):
✔️مبانی و معماری مدلهای زبانی بزرگ (Transformer, Attention Mechanism, Tokenization)
✔️آموزش مدلهای Open Source مانند LLaMA, Mistral, Falcon, GPT-NeoX, Gemma
✔️مبحث Fine-tuning و Instruction-tuning روی دادههای سفارشی (با استفاده از Hugging Face Transf…
📣استخدام مدرس دوره های علوم داده در مدرسه علم داده
🎙در شاخه های متنوع هوش مصنوعی:
✔️کلان داده ها
✔️مهندسی داده ها
✔️آمار و احتمالات
✔️یادگیری ماشین
✔️یادگیری عمیق
✔️یادگیری تقویتی
✔️تحلیل داده ها
✔️بصری سازی داده ها
✔️پردازش زبان طبیعی
✔️مدل های زبانی بزرگ
✔️پردازش گراف های حجیم
🏅ارسال رزومه در جابینجا
🔶https://jobinja.ir/companies/big-data-science-school/jobs/CJgY
🎖ارتباط با ما
تلگرام | اینستاگرام | یوتیوب | لی
📣 تو پست جدید با عنوان سلطنت گراف بر دیتا، با شبکه های عصبی گرافی بیشتر آشنا می شیم.
☑️ پیشنهاد میکنم این محتوا رو از دست ندید.
📱مطالعه ی مقاله و دانلود ارائه در قالب پی دی اف در لینکدین
🔗 لینک پست
🔁 این پست رو با دوستانتون به اشتراک بذارید!
🌐 تلگرام | اینستاگرام | یوتیوب | لینکدین
🎯 تحلیل گراف و شناسایی جوامع در پایتون!
در دنیای دیتاساینس و بیگ دیتا، یکی از چالشهای جذاب و کاربردی، شناسایی جوامع پنهان در دادههای شبکهای است.
💡چرا مهم است؟
شناسایی جوامع به شما امکان میدهد گروههای مشابه را در شبکههای اجتماعی، سیستمهای مالی و حتی دادههای بیولوژیکی شناسایی کنید.
🔧 ابزارهای استفاده شده:
زبان Python
کتابخانه NetworkX
کتابخانه Matplotlib
جمعبندی:
✔️ اگر مقیاس کلان و بیگ دیتا دارید Apache G…
🚀 آینده مهندسی دادهها: چطور Big Data صنعتها را متحول میکند؟
🌐 فناوری Big Data با قدرت پردازش و تحلیل دادهها میتواند به کسبوکارها کمک کند تا:
☑️الگوهای مخفی را شناسایی کنند
☑️روندهای آینده را پیشبینی کنند
☑️منابع را بهینهسازی کنند
🧠 تکنولوژیها
ابزار Hadoop: سیستمی برای ذخیرهسازی و پردازش دادههای بسیار بزرگ به صورت توزیعشده.
ذخیره ساز HDFS برای ذخیرهسازی دادهها و MapReduce برای پردازش دادهها در مقیا…
⚫️🎁⚫️تا ۹۰٪ تخفیف ویژه جمعه سیاه مدرسه علم داده
📣 تخفیف ویژه ۹۰٪ دوره های آموزشی پروژه محور هوش مصنوعی، علم داده و مهندسی داده
📽 دسترسی به بیش از ۵۰ دوره آموزشی پروژه محور، با بیش از بیست هزار دقیقه محتوای فنی و سودمند
🌐 مشاهده لیست دوره ها
🖥 🎖ارتباط با ما
تلگرام | اینستاگرام | یوتیوب | لینکدین
📣استخدام مدرس دوره های علوم داده در مدرسه علم داده
🎙در شاخه های متنوع هوش مصنوعی:
✔️کلان داده ها
✔️مهندسی داده ها
✔️آمار و احتمالات
✔️یادگیری ماشین
✔️یادگیری عمیق
✔️یادگیری تقویتی
✔️تحلیل داده ها
✔️بصری سازی داده ها
✔️پردازش زبان طبیعی
✔️مدل های زبانی بزرگ
✔️پردازش گراف های حجیم
🏅ارسال رزومه در جابینجا
🔶https://shorturl.at/dKkGF
🎖ارتباط با ما
تلگرام | اینستاگرام | یوتیوب | لینکدین
🎖آخرین پژوهش ما با عنوان
Persian Slang Text Conversion to Formal and Deep Learning of Persian Short Texts on Social Media for Sentiment Classification
در
Journal of Electrical and Computer Engineering Innovations
بعنوان ژورنال علمی و پژوهشی با رنک الف پذیرفته شده و در مرحله انتشار است.
🌐https://jecei.sru.ac.ir/article_2172.html
🔔زمینه اصلی: تبدیل متون محاوره به متون رسمی با استفاده از روش های یادگیری عمیق در پر…
Showing the 12 most recent of 20 posts we hold for @HeydariToday. 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
Citation-graph rank — 483,274 of 1,169,250entries 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.
Handles this channel named that no longer answer
Dead references
1
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
1
vacant every time we have ever looked
@HeydariToday named 1 handle 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.
@datascischool named in 9 posts, 8 August 2026 – 13 August 2026
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 12 August 2026 — this
entry's latest reading, not the date you are reading this.
“مهندسی داده ها” (@HeydariToday), 7,094 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/HeydariToday.
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.