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https://issues.apache.org/jira/browse/COMDEV-118?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14356130#comment-14356130
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Alexander Bezzubov edited comment on COMDEV-118 at 3/11/15 3:04 AM:
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Hey [~Joshua Zhang], glad to see you interested!

It's a good time now to start working on the proposal, so what is your ASF wiki 
username? We'd like to to keep all projects posted here 
https://cwiki.apache.org/confluence/display/ZEPPELIN/GoogleSummerOfCode

A good first step would be subscribing to d...@zeppelin.incubator.apache.org 
and posting initial proposal draft or questions you have there for the 
discussion.

Some details on this project scope have already been posted here 
http://markmail.org/thread/apbl65gd5ovw5qpt and here is an ASF guideline on 
makein a strong proposal http://community.apache.org/gsoc.html#applying-for-gsoc



was (Author: bzz):
Hey [~Joshua Zhang], glad to see you interested!

It's a good time now to start working on the proposal, so what is your ASF wiki 
username? We'd like to to keep all projects posted here 
https://cwiki.apache.org/confluence/display/ZEPPELIN/GoogleSummerOfCode

A good first step would be subscribing to d...@zeppelin.incubator.apache.org 
and posting initial proposal draft or questions you have there for the 
discussion.
Some details on this project scope have already been posted here 
http://markmail.org/thread/apbl65gd5ovw5qpt

> 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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