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

Domino Data Lab

2016) for an example of this technique (LIME). Intrinsic methods – this technique is based on ANNs that have been designed to output an explanation alongside the standard prediction. In this article we’ll use Skater , a freely available framework for model interpretation, to illustrate some of the key concepts above.

Modeling 139
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Techniques for Collecting, Prepping, and Plotting Data: Predicting Social Media-Influence in the NBA

Domino Data Lab

Knowing that the ultimate goal is to compare the social-media influence and power of NBA players, a great place to start is with the roster of the NBA players in the 2016–2017 season. One of the things this data set doesn’t have, however, is a single metric to rank both offensive and defensive performance in a single statistic.

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Deep Learning Illustrated: Building Natural Language Processing Models

Domino Data Lab

GloVe and word2vec differ in their underlying methodology: word2vec uses predictive models, while GloVe is count based. Human brains are not well suited to visualizing anything in greater than three dimensions. Visualizing data using t-SNE. Natural Language Processing.] together at Stanford University. Joulin, A.,