Modeling Machine Learning / Andrew Caplin, Daniel J. Martin, Philip Marx.

Format:

Book

Author/Creator:

Caplin, Andrew.

Contributor:

National Bureau of Economic Research.

Martin, Daniel J.

Marx, Philip.

Series:

Working Paper Series (National Bureau of Economic Research) no. w30600.

NBER working paper series no. w30600

Language:

English

Physical Description:

1 online resource: illustrations (black and white);

Place of Publication:

Cambridge, Mass. National Bureau of Economic Research 2022.

Summary:

What do machines learn, and why? To answer these questions we import models of human cognition into machine learning. We propose two ways of modeling machine learners based on this join: feasibility-based and cost-based machine learning. We evaluate and estimate our models using a deep learning convolutional neural network that predicts pneumonia from chest X-rays. We find these predictions are consistent with our model of cost-based machine learning, and we recover the algorithm's implied costs of learning.

Notes:

Print version record

October 2022.