MLbase: Scalable machine-learning made accessible

Our friends at O’Reilly continue their series of early reviews of technology coming out of the AMPLab.   The most recent article is on the (currently under development) MLBase system for making Machine Learning over Big Data more declarative, or as author Ben Lorica puts it, allowing people to  “Describe and run bleeding edge algorithms on massive data sets”.   See the article at: