《机器学习系统:设计和实现》做世界上第一本全面讲述机器学习系统知识的开源书籍 本书发起者为爱丁堡大学的麦络,另外还有多位各个大学/业界的参与者。作者希望这本书能教给学生经受住时间检验的机器学习系统设计原理,同时也提供大量的系统实现经验分享,让他们将来工作,科研中遇到实际问题知道该如何分析和解决。 传送门 | #电子书

Channel
黑科技
@blackScience
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
1subscribers
+0 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1001841309833 |
|---|---|
| Type | Channel |
| Username | @blackScience |
| Description | 推荐各类黑科技软件,各种资源 |
| Created | 4 October 2022 — measured — dated from the channel’s first post |
| First recorded | 14 August 2026 |
| Last confirmed live | 22 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/blackScience |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 09:04 | 1 | no change |
| 6 Aug 2026, 04:10 | 1 | first reading |
Engagement
7 posts held, back to 4 October 2022 — 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.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 7 posts for this entry, the most recent from 10 October 2022. An engagement rate over an empty window would be a number about nothing.
What this channel posts
- Photos
- 1
- Links
- 5
Lifetime counters from Telegram’s own channel header, read 14 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
1 reaction across 1 post, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 1 | 100.0% |
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 1 of the 7 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 1reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 7 most recent posts we hold, published 4 October 2022 to 10 October 2022, 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
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【精选一些电子书阅读下载站】📚 由 @LCGFX 整理,转发请带源🙏 ①Z-Library https://zh.fr1lib.org/ (Z的网址时常更换,这只是一个镜像) 注:Z-Library是世界上最大的在线图书馆之一,它拥有超过11,179,413的书籍和84,837,000的文章,让每个人都能获得文学作品。 --- ②熊猫搜书 https://xmsoushu.com/ 注:聚合各大电子书网站的导航,像Z-library镜像、书格等各种知名大站搜索,非常好用! --- ③鸠摩搜书 https://www.jiumodiary.com/ 注:一个搜书网站,直接搜索即可提供的格式非常多,包括mobi、pdf、txt、epub、azw等,直接下载非常方便! --- ④TheFuture书籍搜索 https://bks.thefuture.top/ 注:功能类似同上,直接搜索,界面简洁干净 --- ⑤好读 http://w…
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👍1
Channel photo updated
Channel created
Showing the 7 most recent of 7 posts we hold for @blackScience. 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
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 14 August 2026 — this entry's latest reading, not the date you are reading this.
“黑科技” (@blackScience), 1 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/blackScience.
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.