Difference between revisions of "DataRobot"

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* [[Algorithm Administration#Automated Learning|Automated Learning]]
 
* [[Algorithm Administration#Automated Learning|Automated Learning]]
 
* [[Other codeless options, Code Generators, Drag n' Drop]]
 
* [[Other codeless options, Code Generators, Drag n' Drop]]
* [https://emerj.com/ai-sector-overviews/artificial-intelligence-homeland-security/ AI at the US] [[Government Services#Department of Homeland Security (DHS)| Department of Homeland Security (DHS)]] – Current Projects | Millicent Abadicio -  Emerj
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* [https://emerj.com/ai-sector-overviews/artificial-intelligence-homeland-security/ AI at the US] [[U.S. Department of Homeland Security (DHS)]] – Current Projects | Millicent Abadicio -  Emerj
 
* [[Platforms: AI/Machine Learning as a Service (AIaaS/MLaaS)]]
 
* [[Platforms: AI/Machine Learning as a Service (AIaaS/MLaaS)]]
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DataRobot is an automated machine learning platform which enables a user to quickly and easily build highly accurate predictive models with full transparency. In this platform, coding and machine learning skills are optional, the only things important is data. In this platform, one can build and deploy highly accurate machine learning models in a fraction of time using traditional data science methods. In the [[development]] stage of DataRobot, it nearly automates 80% of the tasks of experienced data scientists
 
DataRobot is an automated machine learning platform which enables a user to quickly and easily build highly accurate predictive models with full transparency. In this platform, coding and machine learning skills are optional, the only things important is data. In this platform, one can build and deploy highly accurate machine learning models in a fraction of time using traditional data science methods. In the [[development]] stage of DataRobot, it nearly automates 80% of the tasks of experienced data scientists

Revision as of 07:42, 5 May 2023

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DataRobot is an automated machine learning platform which enables a user to quickly and easily build highly accurate predictive models with full transparency. In this platform, coding and machine learning skills are optional, the only things important is data. In this platform, one can build and deploy highly accurate machine learning models in a fraction of time using traditional data science methods. In the development stage of DataRobot, it nearly automates 80% of the tasks of experienced data scientists