The Need for Open Source Software in Machine Learning

摘要: Open source tools have recently reached a level of maturity which makes them suitable for building large-scale real-world systems. At the same time, field machine learning has developed large body powerful algorithms diverse applications. However, true potential these methods is not used, since existing implementations are openly shared, resulting in software with low usability, and weak interoperability. We argue that this situation can be significantly improved by increasing incentives researchers to publish their under an open model. Additionally, we outline problems authors faced when trying algorithmic methods. believe resource peer reviewed accompanied short articles would highly valuable both general scientific community.