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From "Alexander Bezzubov (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (COMDEV-118) Zeppelin GSoC Project: create a ML\Deeplearning tutorial notebook
Date Sat, 14 Feb 2015 06:20:12 GMT

     [ https://issues.apache.org/jira/browse/COMDEV-118?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Alexander Bezzubov updated COMDEV-118:
--------------------------------------
    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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