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https://issues.apache.org/jira/browse/COMDEV-118?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Alexander Bezzubov updated COMDEV-118:
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Description:
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
was:
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 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
> 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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