Examples of using Amazon machine in English and their translations into Indonesian
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Amazon Machine Images.
Or such AI as Amazon Machine service.
A developer cannot import models into or export models out of Amazon Machine Learning.
AMI stands for Amazon Machine Image.
Amazon Machine Learning models and other system artifacts are encrypted both in transit and at rest.
System administrators and managers can simply purchase the SIOS Amazon Machine Images(AMIs) on AWS Marketplace.
Amazon Machine Learning can help you process unstructured text and take actions based on content.
Data from other AWS products can also be exported into CSV files,which can be placed into Amazon S3 buckets to be accessed by Amazon Machine Learning.
Amazon Machine Learning prediction APIs can be used to generate billions of predictions for your applications.
Recent figures show it being the most deployed operating system both on OpenStack and on the Amazon Elastic Compute Cloud,where it outpaces second place Amazon Linux Amazon Machine Image by a mile and leaves third place Windows in the virtual dust.
Amazon Machine Learning is a managed service that provides end-to-end model creation, deployment, and monitoring.
The company uses Amazon Athena for serverless querying of Amazon S3 data and incorporates advanced cloud technology into its big-data analytics platform, using AWS services including Amazon Elastic MapReduce,AWS Lambda, and Amazon Machine Learning.
To use EC2, the developer creates an Amazon Machine Image(AMI), which contains an operating system, applications, and configuration settings.
Amazon Machine Learning makes it easy to build predictive models that help identify potentially fraudulent retail transactions, or detect fraudulent or inappropriate item reviews.
To use the EC2, a developer creates an Amazon Machine Image(AMI) containing an operating system, application programs, and configuration settings.
Amazon Machine Image(AMI)- An Amazon Machine Image(AMI) is a master image for the creation of virtual servers(known as EC2 instances) in the Amazon Web Services(AWS) environment.
With EC2, customers create their own Amazon Machine Images(AMIs) containing an operating system, applications, and data, and they control how many instances of each AMI run at any given time.
For example, Amazon Machine Learning could use prior customer activity to choose the most relevant email campaigns for target customers.
For instance, Amazon Machine Learning could be used to build applications that classify product reviews as positive, negative, or neutral.
Amazon Machine Learning- makes it easy to obtain predictions for your application using simple APIs, without having to implement custom prediction generation code, or manage any infrastructure.
Amazon Machine Learning provides visualization tools and wizards that guide you through the process of creating machine learning(ML) models without having to learn complex ML algorithms.
Once the models are ready, Amazon Machine Learning makes it easy to obtain predictions for applications using simple APIs, without having to implement custom prediction generation code, or manage any infrastructure.
Amazon Machine Learning can help your website provide a more personalized customer experience by using predictive analytics models to recommend items or optimize website flow based on prior customer actions.
Recent AWS add-ons include Amazon Machine Learning- a service that automatically analyses clients' data to help them reduce their customer churn and a feature that makes it easier for developers to run“internet of things” apps.
Amazon Machine Learning is an Amazon Web Services product that allows a developer to discover patterns in end-user data through algorithms, construct mathematical models based on these patterns and then create and….
Amazon Machine Learning APIs and wizards make it easy for any developer to create and fine-tune ML models from data stored in Amazon S3, Amazon Redshift or Amazon RDS, and query these models for predictions.
Amazon Machine Learning- Amazon Machine Learning is an Amazon Web Services product that allows a developer to discover patterns in end-user data through algorithms, construct mathematical models based on these patterns and then create and implement predictive applications.
