Configure a custom Amazon S3 query output location and data retention policy for Amazon Athena data sources in Amazon SageMaker Data Wrangler

Favorite Amazon SageMaker Data Wrangler reduces the time that it takes to aggregate and prepare data for machine learning (ML) from weeks to minutes in Amazon SageMaker Studio, the first fully integrated development environment (IDE) for ML. With Data Wrangler, you can simplify the process of data preparation and feature

Read More
Shared by AWS Machine Learning September 21, 2022

Amazon SageMaker Autopilot is up to eight times faster with new ensemble training mode powered by AutoGluon

Favorite Amazon SageMaker Autopilot has added a new training mode that supports model ensembling powered by AutoGluon. Ensemble training mode in Autopilot trains several base models and combines their predictions using model stacking. For datasets less than 100 MB, ensemble training mode builds machine learning (ML) models with high accuracy

Read More
Shared by AWS Machine Learning September 21, 2022

Parallel data processing with RStudio on Amazon SageMaker

Favorite Last year, we announced the general availability of RStudio on Amazon SageMaker, the industry’s first fully managed RStudio Workbench integrated development environment (IDE) in the cloud. You can quickly launch the familiar RStudio IDE, and dial up and down the underlying compute resources without interrupting your work, making it

Read More
Shared by AWS Machine Learning September 20, 2022

Read webpages and highlight content using Amazon Polly

Favorite In this post, we demonstrate how to use Amazon Polly—a leading cloud service that converts text into lifelike speech—to read the content of a webpage and highlight the content as it’s being read. Adding audio playback to a webpage improves the accessibility and visitor experience of the page. Audio-enhanced

Read More
Shared by AWS Machine Learning September 17, 2022

Amazon SageMaker Automatic Model Tuning now provides up to three times faster hyperparameter tuning with Hyperband

Favorite Amazon SageMaker Automatic Model Tuning introduces Hyperband, a multi-fidelity technique to tune hyperparameters as a faster and more efficient way to find an optimal model. In this post, we show how automatic model tuning with Hyperband can provide faster hyperparameter tuning—up to three times as fast. The benefits of

Read More
Shared by AWS Machine Learning September 17, 2022

Announcing Visual Conversation Builder for Amazon Lex

Favorite Amazon Lex is a service for building conversational interfaces using voice and text. Amazon Lex provides high-quality speech recognition and language understanding capabilities. With Amazon Lex, you can add sophisticated, natural language bots to new and existing applications. Amazon Lex reduces multi-platform development efforts, allowing you to easily publish

Read More
Shared by AWS Machine Learning September 15, 2022

Prepare data at scale in Amazon SageMaker Studio using serverless AWS Glue interactive sessions

Favorite Amazon SageMaker Studio is the first fully integrated development environment (IDE) for machine learning (ML). It provides a single, web-based visual interface where you can perform all ML development steps, including preparing data and building, training, and deploying models. AWS Glue is a serverless data integration service that makes

Read More
Shared by AWS Machine Learning September 14, 2022