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From "Lee moon soo (JIRA)" <j...@apache.org>
Subject [jira] [Comment Edited] (COMDEV-118) Zeppelin GSoC Project: create a ML\Deeplearning tutorial notebook
Date Sat, 07 Mar 2015 18:06:39 GMT

    [ https://issues.apache.org/jira/browse/COMDEV-118?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14351721#comment-14351721
] 

Lee moon soo edited comment on COMDEV-118 at 3/7/15 6:06 PM:
-------------------------------------------------------------

Hi Zezhong ZHANG,
Really appreciate for the interest.

I think data that we want to use is any interesting data, which is licensed to use in this
kind of Purpose.

 About "interactive machine learning", i think the subject is wide open.
>From integration with existing machine learning software and giving them ability to analysis,
(Recently published integration with PredictionIO http://docs.prediction.io/datacollection/analytics-zeppelin/),
Some utility library or visualization that helps machine learning can be used in interactive
notebook in Zeppelin,
to any new great idea.

Thanks.


was (Author: moon):
Hi Zezhong ZHANG,
Really appreciate for the interest.

I think data that we want to use is any interesting data, which is licensed to use in this
kind of Purpose.

 About "interactive machine learning", i think the subject is wide open.
>From integration with existing machine learning software and giving them ability to analysis,
(Recently published integration with PredictionIO http://docs.prediction.io/datacollection/analytics-zeppelin/),
Some utility library or visualization that helps machine learning can be used in interactive
notebook in Zeppelin,
to any new great idea.

Welcome!

> Zeppelin GSoC Project: create a ML\Deeplearning tutorial notebook
> -----------------------------------------------------------------
>
>                 Key: COMDEV-118
>                 URL: https://issues.apache.org/jira/browse/COMDEV-118
>             Project: Community Development
>          Issue Type: Task
>            Reporter: Alexander Bezzubov
>              Labels: deeplearning, gsoc2015, machine_learning, scala, spark
>
> Zeppelin as generic notebook interpreter system for cluster computing is capable of connecting
different distributed systems. The main focus right now is Apache Spark which itself have
extensive machine learning facilities.
> There are other systems such as H2O, PredictIO, Parameterserver or Singa implementing
advanced techniques based on neural networks, commonly referred as Deeplearning.
> The goal of this Google Summer of Code project is to develop a tutorial Notebook with
a sample data and extend Zeppelin server to be able to show advantages of interactive machine
learning.
> Stunents are welcome to reach out Zeppelin community via its developers mailing list
to discuss the details, see http://zeppelin.incubator.apache.org/community.html



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