Difference between revisions of "H20"
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* [[Libraries & Frameworks]] | * [[Libraries & Frameworks]] | ||
| + | * [[Platforms: Machine Learning as a Service (MLaaS)]] | ||
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| + | H2O DriverlessAI is an automatic machine learning platform which delivers unique and advanced functionality for data visualisation, feature engineering, model interpretability and low-latency deployment. There is no mandatory need of a data scientist to use this platform and can be used by everyone including junior data scientists, domain scientists, data engineers, etc. This platform works in such a way that the Driverless AI takes a raw dataset and automatically visualises interesting patterns for data exploration. It then applies automatic feature engineering to increase accuracy. Next, it auto-tunes model parameters and provides the user with the model that yields the best results. Lastly, it gives easy explanations of model results. [http://www.analyticsindiamag.com/7-machine-learning-tools-for-non-data-scientists/ 7 Machine Learning Tools For Non-Data Scientists | Ambika Choudhury] | ||
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<youtube>9W_c2Ec23PM</youtube> | <youtube>9W_c2Ec23PM</youtube> | ||
<youtube>JWIooAwO7qQ</youtube> | <youtube>JWIooAwO7qQ</youtube> | ||
<youtube>0EcnSbxNaeU</youtube> | <youtube>0EcnSbxNaeU</youtube> | ||
Revision as of 06:51, 19 August 2019
Youtube search... ...Google search
H2O DriverlessAI is an automatic machine learning platform which delivers unique and advanced functionality for data visualisation, feature engineering, model interpretability and low-latency deployment. There is no mandatory need of a data scientist to use this platform and can be used by everyone including junior data scientists, domain scientists, data engineers, etc. This platform works in such a way that the Driverless AI takes a raw dataset and automatically visualises interesting patterns for data exploration. It then applies automatic feature engineering to increase accuracy. Next, it auto-tunes model parameters and provides the user with the model that yields the best results. Lastly, it gives easy explanations of model results. 7 Machine Learning Tools For Non-Data Scientists | Ambika Choudhury