August 17, 2018

Responsible Machine Learning

by Om Bathija, Machine Learning Intern at

Having interpretable Machine Learning models can sometimes be as important as having accurate ones. At, one of our constant goals has been to encourage diversity and reduce bias in hiring. Since our platform uses a series of complex deep neural network models in order to make the predictions it does, understanding how it arrives at these predictions is a critical part of ensuring that it’s a fair predictor that’s not using any signals that could contribute to bias in any way.

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