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| − | [ | + | {{#seo: |
| + | |title=PRIMO.ai | ||
| + | |titlemode=append | ||
| + | |keywords=artificial, intelligence, machine, learning, models, algorithms, data, singularity, moonshot, Tensorflow, Google, Nvidia, Microsoft, Azure, Amazon, AWS | ||
| + | |description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools | ||
| + | }} | ||
| + | [https://www.youtube.com/results?search_query=H20+deep+learning+artificial+intelligence Youtube search...] | ||
| + | [https://www.google.com/search?q=H20+deep+learning+artificial+intelligence+ML+artificial+intelligence ...Google search] | ||
| + | |||
| + | * [[Libraries & Frameworks]] | ||
| + | * [[Platforms: AI/Machine Learning as a Service (AIaaS/MLaaS)]] | ||
| + | |||
| + | 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. [https://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> | ||
Latest revision as of 16:21, 28 March 2023
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