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.),

Modeling 222

Modeling Machine Learning Predictive Modeling Consulting 222

O'Reilly on Data

SEPTEMBER 19, 2023

Each time, the underlying implementation changed a bit while still staying true to the larger phenomenon of “Analyzing Data for Fun and Profit.” ” They weren’t quite sure what this “data” substance was, but they’d convinced themselves that they had tons of it that they could monetize.

Machine Learning 247

Machine Learning Testing Modeling Cost-Benefit 247

The Unofficial Google Data Science Blog

MARCH 31, 2016

Through simulation we illustrate issues with model fitting techniques that depend on matrix factorization. Far from hypothetical, we have encountered these issues in our experiences with "big data" prediction problems. These predictive posterior distributions have many uses such as in multi-armed bandit problems.

Modeling 40

Modeling Statistics Advertising Testing 40