Machine learning algorithms learn from data to solve problems that are too complex to solve with conventional programming. ... The pooling layer performs a form of non-linear down-sampling.

Instead, machine learning can give us the precise individual-level estimates we need to make pooling work even at high prevalences, by identifying those likely to test positive and keeping them ...

Artificial Intelligence (AI) is estimated to pave the way for close to 2.3 million opportunities by 2020, according to a Gartner report. With growing volumes and types of data, easy computational ...

We leverage insights from machine learning to optimize the tradeoff between bias and variance when estimating economic models using pooled datasets. Specifically, we develop a simple algorithm that ...