Lowering the barrier to applying machine learning

Authors:
Kayur Patel
Affiliations:
University of Washington, Seattle, WA, USA
Venue:
CHI '10 Extended Abstracts on Human Factors in Computing Systems
Year:
2010

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Abstract

Researchers have used machine learning algorithms to solve hard problems in a variety of domains, enabling exciting, new applications of computing. However, research results have not transferred to software solutions. In part, this is because developing software with machine learning algorithms is itself difficult. My dissertation work aims to understand why using machine learning is difficult and to create tools that lower the bar so that more developers can effectively use machine learning.