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From Lance Norskog <>
Subject Re: Request for Assistance.
Date Wed, 05 Oct 2011 22:51:36 GMT
There are many "online" algorithms which do not use Hadoop or map/reduce.
Online means that the code runs on demand; Hadoop jobs create large
datasets. Online algorithms may use the output of Hadoop, or process input
data directly.

Try learning an area of the online algorithms like recommender systems or
classifiers- you will learn much more quickly. You will find that Hadoop is
an amazing time-waster.


On Wed, Oct 5, 2011 at 11:35 AM, Isabel Drost <> wrote:

> First of all welcome also from my side.
> On 05.10.2011 Apurv Verma wrote:
> >  I am interested in becoming a contributor to Mahout.
> Actually we have a "How to contribute page" on our wiki that might help
> you:
> I guess the general take away is to start using Mahout for your own
> projects. As
> with any software you use sooner or later you will find stuff that bothers
> you:
> Missing documentation, extensions you need to make here and there, sutle
> bugs.
> >  But unfortunately I have not had any course in Machine Learning still. I
> am
> >  having a course in Artificial Intelligence this semester.
> While it is certainly a great help to have some machine learning
> background, you
> do not need a PhD to start contributing to Mahout. Any infrastructure
> improvements that do not change the inner algorithms but make it easier to
> integrate Mahout and re-use it are highly welcome.
> > I am also *not* conversant with hadoop and mapreduce though I have heard
> of
> > it and have long wanted to learn it. Can someone please guide me (mentor
> > informally) so that I may get a sense and direction and I am able to
> > develop the skills set required to contribute to this project within the
> > next 6 months.
> You have taken a very good first step by contacting the mailing list. Try
> to
> figure out an area that you would like to use Mahout for, start working in
> that
> direction, if you come across any questions that cannot be answered by a
> trivial
> search in the mailing list archives don't be shy to ask on list. When
> getting
> more proficient answer questions other new-comers may have, start reviewing
> patches and maybe even contribute your own improvements.
> Isabel

Lance Norskog

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