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The future of casino marketing strategy is digital plus data

BizAcuity

From 2009 to 2019, in a span of 10 years, the United States tripled its gross gaming revenue from $34.3 There is a need for a predictive analytics tool that can individually target each customer at right time to drive additional revenue. An AI model can also help address player churn.It billion to almost $100 billion.

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Credit Card Fraud Detection using XGBoost, SMOTE, and threshold moving

Domino Data Lab

Rules-based fraud detection (top) vs. classification decision tree-based detection (bottom): The risk scoring in the former model is calculated using policy-based, manually crafted rules and their corresponding weights. Bowyer, Lawrence O. Hall, and W. Philip Kegelmeyer. SMOTE: synthetic minority over-sampling technique. 3] He, H. &

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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. Creating a PDP for our model is fairly straightforward.

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Data Science at The New York Times

Domino Data Lab

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.