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From "Zezhong Zhang (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (COMDEV-118) Zeppelin GSoC Project: create a ML\Deeplearning tutorial notebook
Date Sat, 07 Mar 2015 06:44:38 GMT

    [ https://issues.apache.org/jira/browse/COMDEV-118?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14351440#comment-14351440
] 

Zezhong Zhang commented on COMDEV-118:
--------------------------------------

hi,
I am Zezhong ZHANG and have basic skills for this idea , and now i am very interested in the
project.

i want more details about the issue and expected deliverables. for example, the data that
used in the notebook, more details on "interactive machine learning"(which style of interactive?).

best regards,
zezhong zhang

> 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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