2009, Deep Learning, Interactive and Predictive Modeling

Explaining black-box models using attribute importance, PDPs, and LIME

Domino Data Lab

AUGUST 1, 2021

The interest in interpretation of machine learning has been rapidly accelerating in the last decade. This can be attributed to the popularity that machine learning algorithms, and more specifically deep learning, has been gaining in various domains. Methods for explaining Deep Learning. Ribeiro, M.

Modeling

Modeling Deep Learning Machine Learning Knowledge Discovery

Data Science at The New York Times

Domino Data Lab

JULY 9, 2019

Diving into examples of building and deploying ML models at The New York Times including the descriptive topic modeling-oriented Readerscope (audience insights engine), a prediction model regarding who was likely to subscribe/cancel their subscription, as well as prescriptive example via recommendations of highly curated editorial content.

Data Science

Data Science Machine Learning Advertising Modeling

Data Leaders Brief

Explaining black-box models using attribute importance, PDPs, and LIME

Data Science at The New York Times

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