+ Stats: Consumer Trends in Social Networking (via Comscore Blog)
Several charts and tables.
+ The Need for Open Source Software in Machine Learning
24 pages; PDF. Numerous authors including Soren Sonnenburg from Fraunhofer Institute FIRST and Samy Bengio from Google.
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, the field of machine learning has developed a large body of powerful learning algorithms for diverse applications. However, the true potential of these methods is not used, since existing implementations are not openly shared, resulting in software with low usability, and weak interoperability. We argue that this situation can be significantly improved by increasing incentives for researchers to publish their software under an open source model. Additionally, we outline the problems authors are faced with when trying to publish algorithmic implementations of machine learning methods. We believe that a resource of peer reviewed software accompanied by short articles would be highly valuable to both the machine learning and the general scientific community.
+ CalHospitalCompare.org Now en Español
The first statewide hospital report card designed to meet the needs of California’s 12.7 million Latinos is now available. CalHospitalCompare.org en Español enables Spanish-speaking consumers to compare the performance of more than 200 California hospitals on various quality measures. The site mirrors the English version that was launched in March.
