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psaris / funq

Source files for "Fun Q: A Functional Introduction to Machine Learning in Q"

Why this job: works in the areas we cover, but does not say which job it does

What it does

UK][BOOKUK]. A [Kindle version][KINDLE] is also available. Books may be purchased in quantity and/or special sales by contacting the publisher, [Vector Sigma][VECSIG]. Read a [review][REVIEW] by [Daniel Krizian][KRIZIAN] published by [Vector][VECTOR], the Journal of the British APL Association.

Get started

No single install command. Read the steps in the README (opens in new tab)

Maintenance
Active
Last commit 5 months ago
Stars
143
On GitHub
Licence
MIT
Allows business use
Downloads for
None listed
No release files
Latest version
v1.0.0
Released 6 years ago
Built with
q
84% of the code

Is it looked after?

Contributors
Not stated
Last 90 days
Issues
100% closed
0 still open
Pull requests
10 merged
0 waiting
Releases
1
0 in the last year
  • No contributing guide
  • No security policy
  • No code of conduct

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More: languages, topics, project record and preview image

Languages

  • q 84%
  • C 15%
  • Makefile 2%
  • Batchfile <1%

Topics

  • clustering
  • collaborative-filtering
  • decision-trees
  • expectation-maximization
  • heirarchical-clustering
  • k-means
  • k-nearest-neighbours
  • kdb
  • linear-regression
  • logistic-regression
  • machine-learning
  • naive-bayes

Project record

  • JobOther AI tools
  • StatusListed
  • Commits813
  • Forks56
  • Watching28
  • Stars in 28 days0
  • CreatedMay 6, 2016
  • First seen by usNov 7, 2026
  • CheckedNov 8, 2026

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Preview image from psaris/funq

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