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LaLiga transforms fan experience with AI

CIO Business Intelligence

The transformation, which started in partnership with Microsoft in 2016, is also enabling LaLiga to expand its business by offering technology platforms and services to the sports and entertainment industry at large. It has also developed predictive models to detect trends, make predictions, and simulate results.

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Business Intelligence and the COVID-19 Pandemic

Paul Blogs on BI

This first metric requires people to be tested and, as we all know, that is only possible in places where testing is available (and confirmation takes a few days) and only a fraction of people have been tested. As more testing becomes available this first metric will increase significantly. Stay healthy.

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

Domino Data Lab

Model distillation – this approach builds a separate explainable model that mimics the input-output behaviour of the deep network. Because this separate model is essentially a white-box, it can be used for extraction of rules that explain the decisions behind the ANN. 2016) for an example of this technique (LIME).

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

Domino Data Lab

As a result, there has been a recent explosion in individual statistics that try to measure a player’s impact. 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. test: py.test --nbval notebooks/*.ipynb.