[jira] [Commented] (IGNITE-4572) Machine Learning: Develop distributed algebra support for dense and sparse data sets.

["Anant Khandelwal (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/IGNITE-4572?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15952548#comment-15952548 ] 

Anant Khandelwal commented on IGNITE-4572:
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Hi i am Anant khandelwal currently pursuing mastes in the area of machine learning and numerical optimization I am interested in this project as i have recently modify the map algorithm through the use of HYpersphere I am a student at IIT delhi.I want to know what to write on the proposal as the details are very less It would be of great help if someone guides me my mailid -anantbietec@gmail.com
 

> Machine Learning: Develop distributed algebra support for dense and sparse data sets.
> -------------------------------------------------------------------------------------
>
>                 Key: IGNITE-4572
>                 URL: https://issues.apache.org/jira/browse/IGNITE-4572
>             Project: Ignite
>          Issue Type: Task
>          Components: general
>            Reporter: Nikita Ivanov
>            Assignee: Nikita Ivanov
>              Labels: gsoc2017
>
> Apache Ignite community has recently kicked off development of its new component - Apache Ignite Machine Learning Grid. The component will empower researchers, scientists, engineers and companies to train, deploy and execute machine learning models in a distributed fashion gaining significant performance benefits and making real the ability to apply machine learning for Big Data use cases in real-time or near real-time scenarios.
> This is the base functionality for adding support for future ML capabilities. Subtasks will be created and linked to this ticket later on.



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