Machine Teaching: A New Paradigm for Building Machine Learning Systems

Abstract

The current processes for building machine learning systems require practitioners with deep knowledge of machine learning. This significantly limits the number of machine learning systems that can be created and has led to a mismatch between the demand for machine learning systems and the ability for organizations to build them. We believe that in order to… (More)

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Cite this paper

@article{Simard2017MachineTA, title={Machine Teaching: A New Paradigm for Building Machine Learning Systems}, author={Patrice Y. Simard and Saleema Amershi and David Maxwell Chickering and Alicia Edelman Pelton and Soroush Ghorashi and Christopher Meek and Gonzalo Ramos and Jina Suh and Johan Verwey and Mo Wang and John Robert Wernsing}, journal={CoRR}, year={2017}, volume={abs/1707.06742} }