01-17-2019, 05:32 AM
An Introduction to the Machine Learning Platform as a Service
Machine-Learning-Platform-as-a-Service (ML PaaS) is one of the fastest growing services in the public cloud. It delivers efficient lifecycle management of machine learning models.
At a high level, there are three phases involved in training and deploying a machine learning model. These phases remain the same from classic ML models to advanced models built using sophisticated neural network architecture.
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Provision and Configure Environment
Before the actual training takes place, developers and data scientists need a fully configured environment with the right hardware and software configuration.
Read more at [url=https://thenewstack.io/an-introduction-to-the-machine-learning-platform-as-a-service/]The New Stack
Click Here!
Machine-Learning-Platform-as-a-Service (ML PaaS) is one of the fastest growing services in the public cloud. It delivers efficient lifecycle management of machine learning models.
At a high level, there are three phases involved in training and deploying a machine learning model. These phases remain the same from classic ML models to advanced models built using sophisticated neural network architecture.
[/url]
Provision and Configure Environment
Before the actual training takes place, developers and data scientists need a fully configured environment with the right hardware and software configuration.
Read more at [url=https://thenewstack.io/an-introduction-to-the-machine-learning-platform-as-a-service/]The New Stack
Click Here!