The Springer Series on Challenges in Machine Learning

Book Series
There are 8 volumes in this series
Published 2017 - 2020

About this series

The books in this innovative series collect papers written in the context of successful competitions in machine learning. They also include analyses of the challenges, tutorial material, dataset descriptions, and pointers to data and software. Together with the websites of the challenge competitions, they offer a complete teaching toolkit and a valuable resource for engineers and scientists.