Better data annotation—more accurate, detailed or contextually rich—can drastically improve an AI system’s performance, ...

This study demonstrates that algorithmic bias can be evaluated on data already generated through large phase ... and test (20%) cohorts for model development and validation, respectively. 36 There are ...

An algorithm is a set of instructions for manipulating data or performing calculations. Predictive modeling algorithms are sets of instructions that perform predictive modeling tasks. What Is the ...

Welcome to the Algorithmic Data Science research group ... from data management and processing to model inference and applied data analysis. For more details, see our publications page.

(A moving average is an average of past data points that ... nothing illegal about it. Algorithmic trading relies heavily on quantitative analysis or quantitative modeling. As you’ll be ...

A new algorithm, tested via computer modeling across the continental United States, more accurately routes patients with ...

From mastering algorithmic strategies to understanding ... presents a very wide perspective on markets. Big data elaborates a sophisticated model while analyzing both historic and live market ...

The obligation of due diligence in “algorithmic software ... Compliance with erasure requests from data subjects without impacting the functionality of the model is a highly intricate task ...