Mahout - Future Directions

Introduction

The Apache Mahout Machine Learning Library’s goal is to build scalable Machine Learning libraries. Mahout’s focus is primarily in the areas of Collaborative Filtering (Recommenders), Clustering and Classification (known as the "3Cs"), as well as the necessary infrastructure to support those implementations. That would include, math packages for statistics, linear algebra and others as well as Java primitive collections, local and distributed vector and matrix classes and a variety of integrative code to work with popular packages like Apache Hadoop, Apache Lucene, Apache HBase, Apache Cassandra and more.
Future Releases

Predictive Analytics is a Goldmine for Startups.

Traditional business intelligence (and data mining) software does a very good job of showing you where you’ve been. By contrast, predictive analytics uses data patterns to make forward-looking predictions that guide you to where you should go next. This is a whole new world for startups seeking enterprise application opportunities, as well social media trend challenges.

Predictive Analytics with Data Mining: How It Works.

by Eric Siegel, Ph.D.

Published in DM Review's DM Direct, February 2005.

Although you've probably heard many times that predictive analytics will optimize your marketing campaigns, it's hard to envision, in more concrete terms, what it will do. This makes it tough to select and direct analytics technology. How can you get a handle on its functional value for marketing, sales and product directions without necessarily becoming an expert?