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Promote pipelines in a multi-environment setup using Amazon SageMaker Model Registry, HashiCorp Terraform, GitHub, and Jenkins CI/CD

AWS Machine Learning Blog

Create a KMS key in the dev account and give access to the prod account Complete the following steps to create a KMS key in the dev account: On the AWS KMS console, choose Customer managed keys in the navigation pane. Choose Create key. For Key type , select Symmetric.

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Build a multilingual automatic translation pipeline with Amazon Translate Active Custom Translation

AWS Machine Learning Blog

When the job is complete, the parallel data status shows as Active and is ready to use. When the job status changes into Completed , we can find the translated documents in Chinese (D2L-zh) in the S3 bucket output folder. We can check the training job progress on the Amazon Translate console.

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16 Companies Leading the Way in AI and Data Science

ODSC - Open Data Science

Going from Data to Insights LexisNexis At HPCC Systems® from LexisNexis® Risk Solutions you’ll find “a consistent data-centric programming language, two processing platforms, and a single, complete end-to-end architecture for efficient processing.” These tools are designed to help companies derive insights from big data.

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AI-powered code suggestions and security scans in Amazon SageMaker notebooks using Amazon CodeWhisperer and Amazon CodeGuru

AWS Machine Learning Blog

To get started, complete the following steps: On the File menu, choose New and Terminal. Use CodeWhisperer in Studio After we complete the installation steps, we can use CodeWhisperer by opening a new notebook or Python file. In this section, we look at the steps involved. For our example we will open a sample Notebook.

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Build ML features at scale with Amazon SageMaker Feature Store using data from Amazon Redshift

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Deploy the CloudFormation template Complete the following steps to deploy the CloudFormation template: Save the CloudFormation template sm-redshift-demo-vpc-cfn-v1.yaml Launch SageMaker Studio Complete the following steps to launch your SageMaker Studio domain: On the SageMaker console, choose Domains in the navigation pane.

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Best AI Games (2023)

Marktechpost

XCOM: Enemy Unknown The 2012 XCOM reboot’s AI was a major factor in the game’s popularity. Minecraft Since its release in 2012, Minecraft has always impressed. Grand Theft Auto 5 Rockstar has made great strides in artificial intelligence, and Grand Theft Auto 5 is another prime example.

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Explore data with ease: Use SQL and Text-to-SQL in Amazon SageMaker Studio JupyterLab notebooks

AWS Machine Learning Blog

To store information in Secrets Manager, complete the following steps: On the Secrets Manager console, choose Store a new secret. Complete the following steps: On the Secrets Manager console, choose Store a new secret. or later image versions. Always make sure that sensitive data is handled securely to avoid potential security risks.