Answers

General

What is Apache Mahout?

Apache Mahout is a suite of machine learning libraries designed to be scalable and robust

What does the name mean?

The name Mahout was original chosen for it's association with the Apache Hadoop project. A Mahout is a person who drives an elephant (hint: Hadoop's logo is an elephant.) We just wanted a name that complemented Hadoop but we see our project as a good driver of Hadoop in the sense that we will be using and testing it. We are not, however, implying that we are controlling Hadoop's development.

Where can I find the origins of the Mahout project?

See http://ml-site.grantingersoll.com for old wiki and mailing list archives (all read-only)

Where can I download Mahout logo?

See MAHOUT-335

Where can I download Mahout slide presentations?

Books, Tutorials and Talks Wiki page containing an overview of all presentations with links to slides where available.

Algorithms

What algorithms are implemented in Mahout?

We are interested in a wide variety of machine learning algorithms. Many of which are already implemented in Mahout. You can find them here .

What algorithms are missing from Mahout?

There are many machine learning algorithms that we would like to have in Mahout, including some from the paper http://www.cs.stanford.edu/people/ang/papers/nips06-mapreducemulticore.pdf. If you have an algorithm or an improvement to an algorithm that you would like to implement, by all means submit a patch.