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