[Air-L] Seeking resources on A.I. and machine learning

[// Winnie Soon]

Another list that I am maintaining, from the perspectives of cultural +
software studies + artistic practices, also with technical parts where
source code is available (from the perspective of beginner).

http://softwarestudies.projects.cavi.au.dk/index.php/Machine_Learning_Experiments

/winnie

-- 
/*
Winnie Soon - artist-researcher
Assistant Professor @ PIT Research Centre, Aarhus University, Denmark
<http://pit.au.dk>
www.siusoon.net <http://www.siusoon.com>
*/

On 24 July 2018 at 23:17, Emma Stamm <stamm at vt.edu> wrote:

> Dear AoIRists,
>
> I am researching artificial intelligence and machine learning within the
> framework of digital culture studies and philosophy of technoscience. Right
> now, I am looking for articles that reflect current developments in AI & ML
> programming that are suitable for non-STEM experts. Specifically, I am
> interested in pieces that illuminate the ways in which generalization and
> inductive/abductive reasoning are essential to algorithms that effectively
> “predict” the future. However, more wide-ranging, introductory pieces would
> also be helpful for me.
>
> I am familiar with the work of Pedro Domingos, but do not know of many
> other sources that suit my needs. Any recommendations would be very
> welcome.
>
> Thank you in advance!
>
> Best,
>
> Emma
>
> --
> *Emma Stamm*
> *PhD Student, ASPECT Virginia Tech
> <https://liberalarts.vt.edu/departments-and-schools/
> alliance-for-social-political-ethical-and-cultural-thought.html>*
> *o-culus.com <http://o-culus.com> | @turing_tests*
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