Wednesday, 14 November 2018

Amazon VPC supported by Amazon SageMaker Batch Transform

Machine learning frequently seems a bit tough than it should be to most developers because the method to create and train models, and then execute them into production is quite complex and time consuming. Amazon SageMaker overcomes this time consuming drawback who want to use Machine Learning. Amazon SageMaker is perfectly organized platform which allows developers and data scientists to simply and swiftly create, train and execute machine learning models at any scale. Amazon SageMaker contains module which can be used jointly or separately to create, train and execute your machine learning models. Amazon SageMaker helps developer to reduce the complexity which holds back their achievement with every steps.

Amazon Virtual Private Cloud (VPC) supported by Amazon SageMaker Batch Transform. With VPC support, your model containers and the AWS resources they ingress, like the Amazon S3 buckets can be made private within your network and not connected to the internet. This improvement allows you to supervise all network traffic in and out of your model containers using VPC Flow Logs. Amazon SageMaker Batch Transform is now accessible in all AWS regions where SageMaker is available today.

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