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2017

Machine Teaching: A New Paradigm for Building Machine Learning Systems

Simard, Patrice Y., Amershi, Saleema, Chickering, David M. et al.

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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 meet this growing demand for machine learning systems we must significantly increase the number of individuals that can teach machines.
We postulate that we can achieve this goal by making the process of teaching machines easy, fast and above all, universally accessible.

Machine Teaching: A New Paradigm for Building Machine Learning Systems · Around

Built on

The Mythical Man-Month: Essays on Software Engineering, Anniversary Edition, 2/E
Frederick P Brooks Jr. 1995 · 1995
Earlier work this paper cites.
Curriculum Learning. In Proceedings of the 26th Annual International Conference on Machine Learning
Yoshua Bengio, Jérôme Louradour, Ronan Collobert, and Jason Weston. 2009 · 2009
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