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.