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Configure an AWS DeepRacer environment for training and log analysis using the AWS CDK

AWS Machine Learning

In this post, we enable the provisioning of different components required for performing log analysis using Amazon SageMaker on AWS DeepRacer via AWS CDK constructs. This is where advanced log analysis comes into play. Make sure you have the credentials and permissions to deploy the AWS CDK stack into your account.

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Modernizing data science lifecycle management with AWS and Wipro

AWS Machine Learning

Implement group-based security for dashboard and analysis access control. Across accounts, automate deployment using export and import dataset, data source, and analysis API calls provided by QuickSight. About the Authors Stephen Randolph is a Senior Partner Solutions Architect at Amazon Web Services (AWS).

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Automated exploratory data analysis and model operationalization framework with a human in the loop

AWS Machine Learning

According to a Forbes survey , there is widespread consensus among ML practitioners that data preparation accounts for approximately 80% of the time spent in developing a viable ML model. Additionally, we won’t be able to make an informed decision post-analysis of those insights prior to building the ML models. Overview of solution.