The Springer Series on Challenges in Machine Learning

Book Series
There are 2 volumes in this series
Published 2017 - 2017

About this series

The books of this innovative series collect papers written by 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.