Title: FAQ
The Official Mahout FAQ
*General*
1. [What is Apache Mahout?](#whatis)
1. [What does the name mean?](#mean)
1. [Where can I find the origins of the Mahout project? ](#historical)
1. [Where can I download Mahout logo? ](#logo)
1. [Where can I download Mahout slide presentations? ](#presentations)
*Algorithms*
1. [What algorithms are implemented in Mahout?](#algos)
1. [What algorithms are missing from Mahout?](#todo)
# *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](http://en.wikipedia.org/wiki/Mahout)
was original chosen for it's association with the [Apache Hadoop|http://hadoop.apache.org]
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](http://ml-site.grantingersoll.com)
for old wiki and mailing list archives (all read-only)
### Where can I download Mahout logo?
See [MAHOUT-335](https://issues.apache.org/jira/browse/MAHOUT-335)
### {anchor:presentations} Where can I download Mahout slide presentations?
* [Books, Tutorials and Talks ]( books-tutorials-and-talks.html)
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 ](algorithms.html)
.
### 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](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.