Hi everyone, This is such a wonderful collection of resources here! I'd like to add to the list Adrian Mackenzie's *Machine Learners* <https://mitpress.mit.edu/books/machine-learners>. Also of interest may be Matteo Pasquinelli's work <http://www.glass-bead.org/article/machines-that-morph-logic/?lang=enview>. Finally, if anyone wishes to start to get at the technical implementations or the pedagogical approaches to ML in Computer Sciencey circles, Andrew Ng's course here <https://www.coursera.org/learn/machine-learning> is the go-to for a number of people, so the introduction there may be of limited use. Cheers/ranjodh On Fri, 27 Jul 2018 at 09:45 Mcglotten, Shaka <shaka.mcglotten@purchase.edu> wrote:
Thanks all for sharing these! Jenny, is it ok to add to this list? I’m working on a piece now and have found some articles that would fit in nicely.
Also, given the sorts of materials reflected in the materials already exchanged, I hope some of you might like to become part of the Center for Race and Digital Studies, link below.
Best, — Shaka McGlotten (they/he) Associate Professor, Media Studies Coordinator, Gender Studies & Global Black Studies
Center for Critical Race and Digital Studies< https://criticalracedigitalstudies.com/>
On Jul 25, 2018, at 5:20 PM, Tracey P. Lauriault <tlauriau@gmail.com <mailto:tlauriau@gmail.com>> wrote:
On Tue, Jul 24, 2018 at 5:17 PM, Emma Stamm <stamm@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* _______________________________________________ The Air-L@listserv.aoir.org mailing list is provided by the Association of Internet Researchers http://aoir.org Subscribe, change options or unsubscribe at: http://listserv.aoir.org/ listinfo.cgi/air-l-aoir.org
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-- *Tracey P. Lauriault*
Assistant Professor Critical Media Studies and Big Data Communication Studies School of Journalism and Communication Suite 4110, River Building Carleton University 1125 Colonel By Drive Ottawa (ON) K1S 5B6
1-613-520-2600 x7443 <(613)%20520-2600> Tracey.Lauriault@Carleton.ca @TraceyLauriault Skype: Tracey.P.Lauriault https://carleton.ca/sjc/people-archives/lauriault-tracey/ _______________________________________________ The Air-L@listserv.aoir.org mailing list is provided by the Association of Internet Researchers http://aoir.org Subscribe, change options or unsubscribe at: http://listserv.aoir.org/listinfo.cgi/air-l-aoir.org
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-- Ranjodh Singh Dhaliwal https://www.ranjodhdhaliwal.com/ PhD Candidate in English with an emphasis in Science and Technology Studies, UC Davis. Sent from a cellphone. Please excuse any typos.