Teachable Machine: Approachable Web-Based Tool for Exploring Machine Learning Classification

Michelle Carney, Barron Webster, Irene Alvarado, Kyle Phillips, Noura Howell, Jordan Griffith, Jonas Jongejan, Amit Pitaru, Alexander Chen. Teachable Machine: Approachable Web-Based Tool for Exploring Machine Learning Classification. In Regina Bernhaupt, Florian 'Floyd' Mueller, David Verweij, Josh Andres, Joanna McGrenere, Andy Cockburn, Ignacio Avellino, Alix Goguey, Pernille Bjøn, Shengdong Zhao, Briane Paul Samson, Rafal Kocielnik, editors, Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, CHI 2020, Honolulu, HI, USA, April 25-30, 2020. pages 1-8, ACM, 2020. [doi]

Abstract

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