Difference between revisions of "Building Your Environment"
| Line 17: | Line 17: | ||
* [[Automated Machine Learning (AML) - AutoML]] | * [[Automated Machine Learning (AML) - AutoML]] | ||
* [[AI Marketplace & Toolkit/Model Interoperability]] | * [[AI Marketplace & Toolkit/Model Interoperability]] | ||
| − | |||
* [[Platforms: Machine Learning as a Service (MLaaS)]] | * [[Platforms: Machine Learning as a Service (MLaaS)]] | ||
* [http://blog.pocketcluster.io/ Pocketcluster - Weekly Machine Learning Opensource Roundup] | * [http://blog.pocketcluster.io/ Pocketcluster - Weekly Machine Learning Opensource Roundup] | ||
| + | * Environments: | ||
| + | ** [[Local]] Machine, Anaconda, TensorFlow, Graphics card GPU | ||
| + | *** [[Laptop]]s for Machine Learning | ||
| + | ** [[My Own AI Server]] | ||
The capability to transform data into actionable insight is the key to a competitive advantage for any | The capability to transform data into actionable insight is the key to a competitive advantage for any | ||
Revision as of 09:40, 1 September 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 | Keith D. Foote
- Artificial Intelligence Platform, Machine Learning Modelling and Cloud | IPI
- Pipelines
- Containers; Docker, Kubernetes & Microservices
- Kubeflow Pipelines
- Service Capabilities
- Automated Machine Learning (AML) - AutoML
- AI Marketplace & Toolkit/Model Interoperability
- Platforms: Machine Learning as a Service (MLaaS)
- Pocketcluster - Weekly Machine Learning Opensource Roundup
- Environments:
- Local Machine, Anaconda, TensorFlow, Graphics card GPU
- Laptops for Machine Learning
- My Own AI Server
- Local Machine, Anaconda, TensorFlow, Graphics card GPU
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
