Equipped with little more than a burning desire to succeed and a river of open source software, learn how you can build a test bed for developing and testing machine learning algorithms on a scale-out infrastructure on a shoestring budget.
Learn how to cobble together a PostgreSQL database, install a few handy R packages, a pinch of language extensions, and a handful of publicly available data to generate a forest monitoring platform to help landscape managers make better decisions using basic design-engineering paradigms to perform quick trade-off analyses.
This hands-on tutorial aims at learning the basics of the important machine learning algorithms in Mahout. It aims to help you get it up and running on a Hadoop cluster. Mahout is open source implementation of a collection of algorithms designed from ground up to sift through terabytes of data and help bring out important patterns which are otherwise not in the reach of standard tools.