2010 Big Data Predictive Modeling Statistics 
The Unofficial Google Data Science Blog
MARCH 31, 2016
Far from hypothetical, we have encountered these issues in our experiences with "big data" prediction problems. Finally, through a case study of a real-world prediction problem, we also argue that Random Effect models should be considered alongside penalized GLM's even for pure prediction problems.
O'Reilly on Data
MARCH 20, 2019
The objective here is to brainstorm on potential security vulnerabilities and defenses in the context of popular, traditional predictive modeling systems, such as linear and tree-based models trained on static data sets. If an attacker can receive many predictions from your model API or other endpoint (website, app, etc.),
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