Gene Kogan, Francis Tseng: Machine Learning for Artists (2016–)
Filed under handbook | Tags: · art, artificial intelligence, code, deep learning, generativity, language, machine learning, neural networks, programming, software, style
“This is an in-development book about machine learning. The first draft is expected early-2017. Some chapters are nearly complete, some are very rough, some are just stubs.
Guides and Demos are being released as we go. Guides are a collection of practical resources for working with machine learning software, including code and tutorials. Demos are are a collection of figures and interactive demos for highlighting important concepts in machine learning, and supplementing the book’s materials.”
Chapters (HTML)
Guides (HTML, Python)
Demos (HTML, Javascript)
Google Search Quality Rating Guidelines (2007-2012)
Filed under handbook | Tags: · algorithm, google, labour, search, software, software studies, spam, web
Google’s manual for its unseen humans who rate the web. The raters are being hired through Google’s contractors such as Lionbridge, Leapforce and Appen Butler Hill.
Publisher Google, Inc.
43 pages; 125 pages; 161 pages
via Google Search
interview with a Google Search quality rater (searchengineland.com)
discussion (Slashdot)
commentary (v.3.27, searchengineland.com)
commentary (v.3.18, searchenginewatch.com)
commentary (v.2.1, searchengineland.com)
PDF (Version 3.27, June 2012)
PDF (Version 3.18, March 2011)
PDF (Version 2.1, April 2007)
The CryptoParty Handbook (2012)
Filed under handbook, sprint book | Tags: · anonymity, cryptography, email, encryption, floss, hacking, internet, open source, privacy, security, software, surveillance, technology, web
This handbook is designed to help those with no prior experience to protect their basic human right to Privacy in networked, digital domains. By covering a broad array of topics and use contexts it is written to help anyone wishing to understand and then quickly mitigate many kinds of vulnerability using free, open-source tools. Most importantly however this handbook is intended as a reference for use during Crypto Parties.
Facilitated by Adam Hyde
Core Team: Marta Peirano, Asher Wolf, Julian Oliver, Danja Vasiliev, Malte Dik, Brendan Howell, Jan Gerber, Brian Newbold,
Assisted by Teresa Dillon, AT, Carola Hesse, Chris Pinchen, ‘LiamO’, ‘l3lackEyedAngels’, ‘Story89’, Travis Tueffel
Creative Commons BY-SA 4.0 Unported license
386+ pages
via Julian Oliver
discussion and criticism (Liberationtech list)
Download the latest edition
Contribute (via GitHub)
Contribute (via Booki)