Difference between revisions of "Graphical Tools for Modeling AI Components"
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| − | <youtube> | + | * [http://www.youtube.com/watch?v=uBYu_yrz_ZQ&list=PL8eNk_zTBST_WSR_KUBex8TDnQ21GetSG Introduction to Azure Machine Learning Studio] |
| − | <youtube> | + | * [https://www.youtube.com/watch?v=ljHtItiZHho&list=PLe9UEU4oeAuXMUWqhhJQrGVWzUWY6pS9j Azure Machine Learning Studio] |
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=== [[IBM]] - [https://www.ibm.com/cloud/watson-studio Watson Studio] === | === [[IBM]] - [https://www.ibm.com/cloud/watson-studio Watson Studio] === | ||
Revision as of 18:02, 7 December 2019
YouTube Search ...Google search
- Development
- Model Zoo
- 10 Tools for Modeling AI Components – Machine Learning without the code | Jordi Cabot - Modeling Languages
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
Contents
KNIME
YouTube Search ...Google search
Generic data analytics platform that can be used for a multitude of tasks. KNIME comes with over 2000 different types of nodes
PerceptiLabs
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lobe
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RapidMiner
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Orange
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Dataiku
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Dianne
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TensorFlow
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NVIDIA Deep Learning GPU Training System (DIGITS)
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H2O - Driverless AI
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Microsoft Azure - Azure Machine Learning studio
YouTube Search ...Google search
IBM - Watson Studio
Studio+Graphical+Tool+Model+drag+drop+machine+learning YouTube Search Studio+Graphical+Tool+Model+drag+drop+machine+learning ...Google search