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From "Mohamed Hassen Mami (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (COMDEV-118) Zeppelin GSoC Project: create a ML\Deeplearning tutorial notebook
Date Fri, 06 Mar 2015 09:59:38 GMT

    [ https://issues.apache.org/jira/browse/COMDEV-118?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14350168#comment-14350168
] 

Mohamed Hassen Mami commented on COMDEV-118:
--------------------------------------------

Hello,

I am also (the other one is about adding more D3 vizualization on Zepplelin) very interested
in this subject as have a done my last six month internship in a Big Data startup and got
introduced to Machine Learning and Hadoop. I am now very motivated to work on Spark.

mohamedhassen.mami [a.t] gmail dotcom


> 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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