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Free, online course from fast.ai and USF Data Institute covering disinformation, bias & fairness, ethical foundations, practical tools, privacy & surveillance, the silicon valley ecosystem, and algorithmic colonialism
Free, online course from fast.ai and USF Data Institute covering disinformation, bias & fairness, ethical foundations, practical tools, privacy & surveillance, the silicon valley ecosystem, and algorithmic colonialism
#EdTech: Critical Issues in Higher Education With Technology Course Level: Graduate level course (possibly an upper level undergraduate course). Audience: Students in Instructional Design, Higher Education, Information/Library Science, or other similar programs for administrative or scholarly p...
Practical Python Programming (course by @dabeaz)
Includes resources for East and South Asian philosophies.
Data Artifacts, Infrastructures & Landscapes Spring 2020 | GANT 6337 | CRN 7142 Tuesdays 6 - 7:50pm | 6 East 16th St #704 Shannon Mattern | matterns@newschool.edu | office hours by appointment (write me!) Teaching Assistant Emily Bowe | bowee728@newschool.edu Data fuel our economies and pol...
Almost certainly too advanced for 510, but some students might enjoy knowing about it.
Materials for Cybersecurity (LAW 20310) at Yale Law School - yls-cybersec/syllabus.pdf at master · seandiggity/yls-cybersec
Communicate science and statistics with beautiful graphics
The world is awash in bullshit. Politicians are unconstrained by facts. Science is conducted by press release. Higher education rewards bullshit over analytic thought. Startup culture elevates bullshit to high art. Advertisers wink conspiratorially and invite us to join them in seeing through all the bullshit — and take advantage of our lowered guard to bombard us with bullshit of the second order. The majority of administrative activity, whether in private business or the public sphere, seems to be little more than a sophisticated exercise in the combinatorial reassembly of bullshit.
Course Notes for Text Mining - Prof. Peter Organisciak - GitHub - organisciak/Text-Mining-Course: Course Notes for Text Mining - Prof. Peter Organisciak