2016, Data Collection, Interactive and Predictive Modeling

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

Domino Data Lab

OCTOBER 23, 2019

The first step to collecting all of the data is to figure out which data source to collect first, and where to get it. 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. 35,vjust=1).

Statistics

Statistics Machine Learning Testing Modeling

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

Domino Data Lab

AUGUST 1, 2021

The need for interaction – complex decision making systems often rely on Human–Autonomy Teaming (HAT), where the outcome is produced by joint efforts of one or more humans and one or more autonomous agents. 2016) for an example of this technique (LIME). PDPs for the bicycle count prediction model (Molnar, 2009).

Modeling

Modeling Deep Learning Machine Learning Knowledge Discovery

Data Leaders Brief

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

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

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