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rentruewang
learning-machine
Jupyter Notebook2021–2021
rentruewang / learning-machine

learning-machine

A handbook for ML built on answers.

2Distinct people
3Mentions
0Explicit recommenders
502GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

A handbook for ML built on answers.

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 3:56:07 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by day3 dated mentions

Observed mentions: 2021-07-31 10:31:00 UTC to 2021-08-10 14:31:44 UTC.

012021-07-31 00:00:00 UTC to 2021-08-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 commentsJul 312021-08-01 00:00:00 UTC to 2021-08-02 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-08-02 00:00:00 UTC to 2021-08-03 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-08-03 00:00:00 UTC to 2021-08-04 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-08-04 00:00:00 UTC to 2021-08-05 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-08-05 00:00:00 UTC to 2021-08-06 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsAug 52021-08-06 00:00:00 UTC to 2021-08-07 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-08-07 00:00:00 UTC to 2021-08-08 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-08-08 00:00:00 UTC to 2021-08-09 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-08-09 00:00:00 UTC to 2021-08-10 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2021-08-10 00:00:00 UTC to 2021-08-11 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsAug 10

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
Jul 312021-07-31 00:00:00 UTC2021-08-01 00:00:00 UTC110
Aug 12021-08-01 00:00:00 UTC2021-08-02 00:00:00 UTC000
Aug 22021-08-02 00:00:00 UTC2021-08-03 00:00:00 UTC000
Aug 32021-08-03 00:00:00 UTC2021-08-04 00:00:00 UTC000
Aug 42021-08-04 00:00:00 UTC2021-08-05 00:00:00 UTC000
Aug 52021-08-05 00:00:00 UTC2021-08-06 00:00:00 UTC000
Aug 62021-08-06 00:00:00 UTC2021-08-07 00:00:00 UTC000
Aug 72021-08-07 00:00:00 UTC2021-08-08 00:00:00 UTC000
Aug 82021-08-08 00:00:00 UTC2021-08-09 00:00:00 UTC000
Aug 92021-08-09 00:00:00 UTC2021-08-10 00:00:00 UTC101
Aug 102021-08-10 00:00:00 UTC2021-08-11 00:00:00 UTC101

What Hacker News says

3 sources
Hi HN, original poster here! We made a compilation (book) of questions that we got from 1300+ students from this course [1]. We believe that stackoverflow-like Q/A scheme is best for learning, so we made this. Project Repo: https://github.com/rentruewang/learning-machine Website: https://rentruewang.github.io/learning-machine (link in the title) The website is hosted on GitHub, automatically built from the repo by github actions. We are lucky to get some feedbacks on reddit here [2], here [3], and here [4], and have made changes accordingly. It's still WIP, so we really want to know what you guys on HN think. Any suggestions are welcome! [1] https://speech.ee.ntu.edu.tw/~hylee/ml/2021-spring.html [2] https://www.reddit.com/r/datascience/comments/oz7xab/open_so... [3] https://www.reddit.com/r/learnmachinelearning/comments/oz78n... [4] http
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In Show HN: Open source ML Book: Learn ML by Reading Answers, Like SO
Hi HN, original poster here! We made a compilation (book) of questions that we got from 1300+ students from this course [1]. We believe that stackoverflow-like Q/A scheme is best for learning, so we made this. Project Repo: https://github.com/rentruewang/learning-machine Website: https://rentruewang.github.io/learning-machine The website is hosted on GitHub, automatically built from the repo by github actions. We are lucky to get some feedbacks on reddit here [2], here [3], and here [4], and have made changes accordingly. It's still WIP. We really want to know what you guys on HN think. Any suggestions are welcome! [1] https://speech.ee.ntu.edu.tw/~hylee/ml/2021-spring.html [2] https://www.reddit.com/r/datascience/comments/oz7xab/open_so... [3] https://www.reddit.com/r/learnmachinelearning/comments/oz78n... [4] https://www.reddit.com/r/Ma
Read the rest
In [dead]

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