April 7, 2022, 1:11 a.m. | Jakim Berndsen, Derek McHugh

cs.LG updates on arXiv.org arxiv.org

In this paper we examine the claims made by Bullock et. al. on the
applicability of black-box injury risk approaches in the sports injury domain.
Overall, we agree that transparency is necessary for Machine Learning models to
be useful in this field. However, there are areas of research that address
precisely the concerns of the authors and strongly temper their conclusions. In
the following we look at how these issues are being tackled by the Machine
Learning community.

arxiv black box change medicine prediction sports tactics

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Data Analyst (CPS-GfK)

@ GfK | Bucharest

Consultant Data Analytics IT Digital Impulse - H/F

@ Talan | Paris, France

Data Analyst

@ Experian | Mumbai, India

Data Scientist

@ Novo Nordisk | Princeton, NJ, US

Data Architect IV

@ Millennium Corporation | United States