Difference between revisions of "Building Your Environment"
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| − | * [http://www.kdnuggets.com/2019/02/gartner-2019-mq-data-science-machine-learning-changes.html Gainers, Losers, and Trends in Gartner 2019 Magic Quadrant for Data Science and Machine Learning Platforms] | + | * [http://www.kdnuggets.com/2019/02/gartner-2019-mq-data-science-machine-learning-changes.html Gainers, Losers, and Trends in Gartner 2019 Magic Quadrant for Data Science and Machine Learning Platforms | Gregory Piatetsky - KDnuggets] |
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Revision as of 09:28, 3 March 2019
Youtube search... ...Google search
- Comparing Machine Learning as a Service: Amazon, Microsoft Azure, Google Cloud AI, IBM Watson | Bradford Cross
- AI Platforms: The Next Step in Artificial Intelligence
- Artificial Intelligence Platform, Machine Learning Modelling and Cloud | IPI
- Pipelines
- Service Capabilities
- Automated Machine Learning (AML) - AutoML
- AI Marketplace & Toolkit/Model Interoperability
- My Own AI Server
- Platforms: Machine Learning as a Service (MLaaS)
- Pocketcluster - Weekly Machine Learning Opensource Roundup
The capability to transform data into actionable insight is the key to a competitive advantage for any organization. ... While many ML algorithms have been around for years, the ability to apply complex mathematical calculations to data, and process them more quickly than ever before, is a recent development.Preparing and Architecting for Machine Learning | Carlton E. Sapp
