Difference between revisions of "Graphical Tools for Modeling AI Components"
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| − | Tools that allow visual drag-and-drop interface to streamline and simplify your process | + | These range from a new interface for a tool that completely automates the process of creating models, to a new no-code visual interface for building, training and deploying models, all the way to hosted Jupyter-style notebooks for advanced users. Tools that allow visual drag-and-drop interface to streamline and simplify your process |
| + | * [http://perceptilabs.readme.io/docs PerceptiLabs] | ||
| + | * [[H2O]] [http://www.h2o.ai/products/h2o-driverless-ai/ Driverless AI] | ||
| + | * [[Microsoft] [http://docs.microsoft.com/en-us/azure/machine-learning/service/how-to-create-portal-experiments Azure Machine Learning studio] | ||
| − | + | ||
| − | <img src="http://venturebeat.com/wp-content/uploads/2019/12/percetiplabs-demo-2.jpg" width="900" height=" | + | <img src="http://venturebeat.com/wp-content/uploads/2019/12/percetiplabs-demo-2.jpg" width="900" height="500"> |
Revision as of 09:48, 7 December 2019
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These range from a new interface for a tool that completely automates the process of creating models, to a new no-code visual interface for building, training and deploying models, all the way to hosted Jupyter-style notebooks for advanced users. Tools that allow visual drag-and-drop interface to streamline and simplify your process
- PerceptiLabs
- H2O Driverless AI
- [[Microsoft] Azure Machine Learning studio
