✳ قابل توجه شرکت های فناور،دانش بنیان و صنایع بزرگ شرکت هایی که ظرفیت ایجاد مراکز هوش مصنوعی در پارک علم و فناوری خراسان رضوی را دارند؛ می توانند از تسهیلات تا سقف ۴۰۰ میلیارد تومان برخوردار گردند. شرایط متقاضی: 1- درآمد عملیاتی شرکت بالای 100 میلیارد تومان 2-نسبت مالکانه بالای 20 درصد 3-سرمایه ثبتی بالا داشته باشد و کفایت سرمایه (چک و بدهی و .. نداشته باشد) ارایه درخواست: درصورت وجود شرایط، ثبت نام در سامانه ز…

Channel
کارگروه علم داده
@dsfum
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
422subscribers
+0 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1001974303644 |
|---|---|
| Type | Channel |
| Username | @dsfum |
| Description | ارتباط با ادمین: @Smn_statistics |
| Created | Between 1 April 2023 and 31 October 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 8 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/dsfum |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Aug 2026, 05:31 | 422 | no change |
| 7 Aug 2026, 16:50 | 422 | first reading |
Engagement
20 posts held, back to 22 December 2025 — the 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.
- ERR · 30 days
- 19.3%
- avg views ÷ 422 subscribers
- Avg views / post
- 81.5
- 2 posts measured
- Reaction rate
- 1.08%
- reactions ÷ views · ER floor
- Posts in window
- 2
- of 20 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 1 of 2 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 26 July 2026 |
|---|---|
| Posts held | 20 (22 December 2025 – 26 July 2026) |
| Views total | 163 |
| Reactions total | 1 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 05:31 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
- 461
- Videos
- 14
- Links
- 433
Lifetime counters from Telegram’s own channel header, read 8 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Reaction mix
23 reactions across 15 posts, in 6 distinct kinds. The most used accounts for 65.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 15 | 65.2% | |
| 🆒 | 2 | 8.70% | |
| 👎 | 2 | 8.70% | |
| 🕊 | 2 | 8.70% | |
| 👏 | 1 | 4.35% | |
| 🙏 | 1 | 4.35% |
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 23reactions 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 22 December 2025 to 26 July 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
جزوه فارسی «برنامهنویسی با R» 👨🏻💻تدریس: دکتر سرمد (عضو هیئت علمی دانشگاه فردوسی مشهد) تهیه و تنظیم: ابوالفضل محمدپور #R #جزوه_آموزشی #ارسالی ┏━━━━━ 🌐 @Amar_kadeh 📊 ┗━━━━━━━━━━
❤1
👨🏻💻 من اخیراً کتاب An Introduction to Statistical Learning with Python (ISLP) رو تموم کردم، همراه با دورهی یوتیوبی که همراهش بود. ▶️ حین خوندن کتاب، همزمان تمرینهاش رو هم توی ژوپیتر نوتبوک حل میکردم. بعد با خودم گفتم چرا همین جوابهام رو یهجا و مرتب نکنم؟ برای همین همهیِ حلتمرینهام رو تبدیل کردم به شکل یه سایت تعاملی از نوتبوکها. 💻 لینک سایت حلتمرینها: ISLP {Solutions} 🖥 ریپوی گیتهابِ کتاب: GitHub…
👏1🙏1
📌 فرصتهای حمایت از پایاننامهها، رسالهها و پژوهشهای کاربردی اگر در حال انجام پایاننامه، رساله یا یک طرح پژوهشی مسئلهمحور هستید، میتوانید از ظرفیت سامانهها و نهادهای زیر برای شناسایی نیازهای پژوهشی کشور، دریافت حمایت مالی، اجرای پروژههای کاربردی و توسعه ارتباط با صنعت و دستگاههای اجرایی بهرهمند شوید: • سامانه ساتع (ارتباط دانشگاه و صنعت) https://sate.atf.gov.ir/NewRequests.aspx • سامانه نان (نیازها و اید…
❤1
رویداد ایدهپردازی نوآورانه دانشکده هوشمند 💡این رویداد با هدف ترویج نوآوری و خلاقیت، مبتنی بر رفع چالشها و بهبود فرآیندهای حوزه انرژی، آموزش، خدمات، زیرساخت و... دانشکده مهندسی دانشگاه فردوسی مشهد برگزار میشود. 🎓 دانشجویان، اساتید، پژوهشگران و علاقهمندان به تکنولوژیهای نوین و هوش مصنوعی میتوانند با ارائه ایدههای خلاقانه در جهت رفع نیازهای اعلامشده و مسائل پیشنهادی خود در این رویداد شرکت نمایند. جوایز: 🥇رتبه…
سند جامع RFP کل نیازهای موجود @ictPardis
🪐 The Layers of Artificial Intelligence #AI @toobabigdatascience
❤1🕊1
رونمایی از بزرگترین سامانه انتشار کلاندادههای قضایی کشور سامانه شفافیت قوه قضاییه بهعنوان بزرگترین سامانه انتشار عمومی کلاندادههای قضایی کشور رونمایی شد. این سامانه در راستای اجرای قانون شفافیت و سند تحول قوه قضاییه راهاندازی شده و امکان دسترسی عمومی به دادههای باز قضایی، از جمله آرای قضایی و لینک سامانههای شفافیت سازمانهای تابعه را برای پژوهشگران، شرکتهای دانشبنیان و عموم مردم فراهم میکند. جهت اطلاع …
🆒1
📰 ـ معرفی Qwen3-Coder-Next؛ مدل زبان باز پیشرفته برای برنامهنویسی و توسعه محلی 🔸 ـ تیم Qwen مدل زبان باز Qwen3-Coder-Next را معرفی کرده است که برای برنامهنویسی و توسعه محلی طراحی شده است. این مدل با معماری ترکیبی MoE و توجه هیبریدی، دارای 80 میلیارد پارامتر است اما تنها 3 میلیارد پارامتر فعال در هر توکن دارد تا هزینه محاسباتی کاهش یابد. Qwen3-Coder-Next با آموزش بر روی وظایف اجرایی و یادگیری تقویتی، قابلیت برنامه…
❤2👎1
9 تا کتاب دیتا ساینسی که به صورت قانونی و رایگان میتونید بخونیدشون : دانلود و توضیحات بیشتر @Linuxor
❤1👎1
جزوه جلسه ششم تحلیل آماری داده ها موضوع: ادامه آزمون های پارامتری آزمون های ناپارامتری نکات مربوط به تعیین حجم نمونه آشنایی با طرح آزمایش ها #جزوه #تحلیل_آماری_داده_ها 🆔@dsfum
❤1
🔶#استخدام کارشناس هوش تجاری گروه نرم افزاری باران مسئولیتها: طراحی و توسعه داشبوردهای مدیریتی و گزارشهای تحلیلی در Power BI مدلسازی دادهها (Data Modeling) و طراحی DAX Measures تحلیل دادههای عملیاتی و مالی برای ارائه Insight به مدیریت همکاری با تیم نرمافزار باران جهت یکپارچگی دادهها و ساخت Data Mart های تخصصی بهینهسازی Performance داشبوردها و دیتاستها جمعآوری، پاکسازی و آمادهسازی Data برای تحلیل مشارکت د…
❤1🕊1
Showing the 12 most recent of 20 posts we hold for @dsfum. 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
Republishes
Channels on the register whose posts this channel has forwarded.
@ictpardis · 9243 postsData Science | علم داده
@DataScience_ir · 49,6812 postsآمارکده | علم داده | هوش مصنوعی| پژوهش
@Amar_kadeh · 15,0571 postآزمایشگاه فناوریهای مالی
@FTILaboratory · 2431 postمرکز نوآوری فامینو
@fum_inno · 1601 postانجمن آمار ایران (ISS)
@irstat · 2,7181 postLinuxor ?
@Linuxor · 29,3831 postlinuxtnt(linux tips and tricks)
@linuxtnt · 6,8001 postRade AI News
@rade_ai_news · 5871 postمتخصصان علم داده ها data scientists
@toobabigdatascience · 1,3861 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
Names
Channels on the register whose handles appear in this channel's posts.
@DataScience_ir · 49,6812 postsICTpardis
@ictpardis · 9242 postsآمارکده | علم داده | هوش مصنوعی| پژوهش
@Amar_kadeh · 15,0571 postمرکز نوآوری فامینو
@fum_inno · 1601 postLinuxor ?
@Linuxor · 29,3831 postRade AI
@rade_ai · 9841 postRade AI News
@rade_ai_news · 5871 postمتخصصان علم داده ها data scientists
@toobabigdatascience · 1,3861 post
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
- 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
@dsfum 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.
named in 2 posts, 9 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 8 August 2026 — this entry's latest reading, not the date you are reading this.
“کارگروه علم داده” (@dsfum), 422 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/dsfum.
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.