سرفصل دوره مدیریت محصول هوش مصنوعی

Channel
متلب آنلاین
@matlabonline
On this record: Topic · Growth · Engagement · What this channel posts · Posts · Citations · Telegram's recommendations · Cite this entry
16,996subscribers
-92 since we began measuring on 5 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1001044613056 |
|---|---|
| Type | Channel |
| Username | @matlabonline |
| Created | Between 1 January 2016 and 31 October 2016 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 9 September 2026 |
| Measurements held | 29 |
| Confirmed unchanged | 1 time, most recently 9 September 2026 |
| On Telegram | t.me/matlabonline |
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 why it has no browse page of its own yet.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 9 Sept 2026, 04:37 | 16,996 | -11 |
| 5 Sept 2026, 23:37 | 17,007 | -9 |
| 3 Sept 2026, 17:59 | 17,016 | -11 |
| 2 Sept 2026, 12:04 | 17,027 | -6 |
| 1 Sept 2026, 12:47 | 17,033 | +3 |
| 31 Aug 2026, 10:25 | 17,030 | -3 |
| 30 Aug 2026, 10:04 | 17,033 | -5 |
| 28 Aug 2026, 09:33 | 17,038 | -7 |
| 27 Aug 2026, 06:23 | 17,045 | -2 |
| 26 Aug 2026, 05:13 | 17,047 | -7 |
| 25 Aug 2026, 04:49 | 17,054 | -1 |
| 24 Aug 2026, 04:42 | 17,055 | -9 |
| 22 Aug 2026, 10:03 | 17,064 | -3 |
| 21 Aug 2026, 02:23 | 17,067 | -8 |
| 19 Aug 2026, 23:03 | 17,075 | -9 |
| 18 Aug 2026, 21:12 | 17,084 | -12 |
| 17 Aug 2026, 17:44 | 17,096 | -3 |
| 16 Aug 2026, 15:36 | 17,099 | +12 |
| 15 Aug 2026, 02:53 | 17,087 | +32 |
| 13 Aug 2026, 17:38 | 17,055 | first reading |
Engagement
16 posts held, back to 27 February 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 55 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 5.57%
- avg views ÷ 16,996 subscribers
- Avg views / post
- 946
- 2 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 2
- of 16 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.
| Window | Rolling 30 days · latest post in window 18 August 2026 |
|---|---|
| Posts held | 16 (27 February 2025 – 18 August 2026) |
| Views total | 1,892 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 3 Sept 2026, 09:32 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
- 9m 21s
- Average length
- 4m 41s
Measured directly from 2 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.
Recent posts
🎓 دوره حرفهای مدیریت محصول هوش مصنوعی AI Product Management Professional چگونه هوش مصنوعی را از یک فناوری به محصولی ارزشآفرین برای کسبوکار تبدیل کنیم؟ در این دوره، مدیریت محصول هوش مصنوعی را با رویکردی علمی، کاربردی و مبتنی بر مسائل واقعی سازمانها یاد میگیرید. 🔹 ۳ روز دوره فشرده و کاربردی 🔹 ویژه مدیران، متخصصان و سازمانها 🔹 منتورینگ تخصصی با تجربههای واقعی 🔹 بهرهگیری از منابع دانشگاه استنفورد 🔹 گواهینامه …
⚡️ انرژی گپ؛ نخستین سامانه مدیریت هوشمند انرژی بدون نیاز به نصب سنسور این راهکار مبتنی بر هوش مصنوعی که در پژوهشکده انرژی دانشگاه صنعتی شریف و توسط شرکت کیمیاگران انرژی توسعه یافته، امکان پایش، تحلیل، ممیزی آنلاین و بهینهسازی مصرف انرژی را برای صنایع، سازمانها و نهادهای دولتی فراهم میکند. 📊 دقت پیشبینی مصرف انرژی: ۹۶٪ 📉 کاهش هزینههای انرژی: تا ۱۸٪ 🔍 شناسایی نقاط اتلاف انرژی: تا ۲۸٪ ⚙️ بهینهسازی مصرف انرژی: تا ۱…
اسم کتاب: Getting Started with MATLAB – MATLAB: The Language of Technical Computing سال انتشار: 2004 (Sixth Printing – June 2004, Revised for MATLAB 7.0 Release 14) چاپکننده (ناشر): The MathWorks, Inc., MA, USA #کتاب #MATLAB #TechnicalComputing #TheMathWorks #NumericalComputing #EngineeringSoftware @Matlabonline
📚 Title:Computational Thinking Education 🌟 پردازش تصویر ایران 🌟 🧠 مرجع رسمی هوش مصنوعی ایران @Digital_Image_Processing #AI #هوش_مصنوعی #MachineLearning #کتاب #ArtificialIntelligence
🌟 پردازش تصویر ایران 🌟 🧠 مرجع رسمی پردازش تصویر ایران 📕 نام کتاب : "Computational Thinking Education" چرا این کتاب را بخوانیم؟ - انقلاب در آموزش: نگاهی نو به روشهای یاددهی و یادگیری در عصر دیجیتال - کاربردی و عملی: ارائه راهکارهای قابل اجرا برای مربیان و مدیران آموزشی - آیندهنگری: آمادهسازی نسل آینده برای مهارتهای قرن ۲۱ مخاطبان کتاب: معلمان، دانشجویان علوم کامپیوتر و علوم تربیتی، متخصصان طراحی برنامههای درسی …
هوش مصنوعی «عالی شدن» را آسانتر کرده، اما «معمولی ماندن» را دشوارتر. او صدای معمولی بودن را درآورده و سطح استاندارد را بالا برده است. آنچه دیروز فوقالعاده بود، امروز فقط «خوب» است و فردا شاید معمولی. در جهانی که الگوریتمها هر روز مرزهای ممکن را جابهجا میکنند، شاید دیگر پرسش اصلی این نباشد که چگونه بهتر شویم بلکه اینکه چگونه انسانیتر بمانیم. شبکه خبر | جهان امروز | مدل های زبانی هوش مصنوعی 🌑 مغز آینده | NextBra…
🔥متلب آنلاین🔥 Imageprocessing.ir @Matlabonline
🔥 آکادمی آموزشی متلب آنلاین🔥 🧠مرجع معتبر کتاب های Matlab در ایران 📕محاسبات مهندسی و مدلسازی در متلب/ سیمولینک چاپ دوم مناسب برای مبتدی 📅سال چاپ: 2020 📝چاپ کننده: AIAA 🧷لینک دانلود: Imageprocessing.ir #متلب #سورس_کد #سیمولیک #مدلسازی #عددی #تحلیلی #بهینه_سازی #انتگرال #مشتق #Matlab #SourceCode #Programming #Simulink #Plot #Animation #Symbolic #Computation #Modeling #Numerical #Optimization #CurveFitting #Integrati…
آکادمی آموزشی متلب آنلاین🔥 📕سورس کد الگوریتم های کلاسیک بهینه سازی در متلب 📅سال چاپ: 2024 📝چاپ کننده: Mathwork لینک دانلود: Imageprocessing.ir #متلب #بهینه_سازی #یادگیری #چند_هدفه #عملگر #تولباکس #مختلط #لگاریتم #ژاکوبین #دانشجویی #کاربردی #سریع #یادگیری_تقویتی #تکنیک #خودآموز #برنامه_نویسی #یادگیری_عمیق #پیش_بین #کنترل #محاسبات #رسم_نمودار #محاسبات_فنی #حرفه_ای #مبتدی #توابع #هوش_مصنوعی #یادگیری_ماشین #تحلیل #مهار…
🔥متلب آنلاین🔥 Imageprocessing.ir @Matlabonline
سال که به پایان میرسد، گویی پردهای از نمایش هستی فرومیافتد، اما این نه پایانی قطعی، که دگرگونیای ناگزیر است. لحظهای که شمارش معکوس آغاز میشود، زمین همان است، آسمان همان، اما در ژرفای وجود ما چیزی تکان میخورد: امیدی نو، بیمی کهنه، رؤیاهایی که شاید خاک خوردهاند و اکنون چشم به راه طلوعی دیگرند. پایان یک سال و آغاز دیگری، نه جشن زمان، که جشن ادراک است؛ فرصتی نادر که انسان، این موجود درگیر در روزمرگی، به لحظه اکن…
Showing the 12 most recent of 16 posts we hold for @matlabonline. 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.
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 13 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.
Named by
Channels on the register whose posts name this channel's handle.
@amuzesh_computer · 41,4061 postبرنامه نویسی | Programming
@Azad_Developers · 38,1991 postآموزش شبكه و امنيت
@denait · 21,3971 posti Code | آی کد
@i_Code · 13,9071 postLearn Python
@learnpy · 21,5471 postمهندسی کامپیوتر
@maghalecomputer · 60,2951 postآقای هوش مصنوعی
@MrArtificialintelligence · 20,7581 postمغز آینده |NextBrain
@NextBrain_ir · 20,0251 postخانه موبایل و کامپیوتر
@PcAndMob · 24,7711 postدورهمی برنامه نویسان
@programmers_gathering · 9,5991 postبرنامهنویسی | هوش مصنوعی | علم داده
@python_0to100 · 17,9051 postعلوم ورزشی و تندرستی تایباد
@taybadsport · 761 postدوره های یودمی را رایگان بیاموزید و گواهینامه بگیرید.
@udemyforever · 30,9901 post
Names
Channels on the register whose handles appear in this channel's posts.
@MrArtificialintelligence · 20,7584 postsپردازش تصویر ایران
@digital_image_processing · 12,7793 postsمغز آینده |NextBrain
@NextBrain_ir · 20,0252 postsاخبار هوش مصنوعی
@Ai_NewsTv · 27,5721 postهوش مصنوعی |یادگیری ماشین| علم داده
@Ai_Tv · 26,5451 postآموزش کامپیوتر
@amuzesh_computer · 41,4061 postبرنامه نویسی | Programming
@Azad_Developers · 38,1991 postکامپیوتر | برنامه نویسی
@Computerr_Programming · 17,9571 postآموزش شبكه و امنيت
@denait · 21,3971 postابزارها و کاربردهای هوش مصنوعی
@DocPython · 4,8151 posti Code | آی کد
@i_Code · 13,9071 postLearn Python
@learnpy · 21,5471 postمهندسی کامپیوتر
@maghalecomputer · 60,2951 postخانه موبایل و کامپیوتر
@PcAndMob · 24,7711 postدورهمی برنامه نویسان
@programmers_gathering · 9,5991 postبرنامهنویسی | هوش مصنوعی | علم داده
@python_0to100 · 17,9051 postSharif_Energy
@sharif_energy · 7,8171 postدوره های یودمی را رایگان بیاموزید و گواهینامه بگیرید.
@udemyforever · 30,9901 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.
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.
@faradars · 61,338
Telegram ranks this channel #44 of 87 here — alongside 86 others — read 22 August 2026
@dl_ketab · 60,205
Telegram ranks this channel #47 of 86 here — alongside 85 others — read 22 August 2026
@Mechanical_Eng · 33,203
Telegram ranks this channel #93 of 94 here — alongside 93 others — read 4 September 2026
This channel appears in 3 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 9 September 2026 — this entry's latest reading, not the date you are reading this.
“متلب آنلاین” (@matlabonline), 16,996 subscribers as measured 9 September 2026. Telegram Register, tgregister.com/channel/matlabonline.
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.