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https://issues.apache.org/jira/browse/COMDEV-118?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14350168#comment-14350168
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Mohamed Hassen Mami commented on COMDEV-118:
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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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