SageMaker is AWS's flagship machine learning solution. Here we take a hands-on look at some of its newest features, rolled out in December.

AWS launched a new service today, Amazon SageMaker Data Wrangler, that makes it easier for data scientists to prepare their data for machine learning training. In addition, the company is also ...

The next generation of SageMaker brings together these capabilities—along with some exciting new features—to give customers all the tools they need for data processing, SQL analytics, ML model ...

AWS launched SageMaker Data Wrangler two years ago helps users clean and prepare data for machine learning uses. However, AWS users discovered that the same data prep steps needed to be conducted to ...

Amazon Web Services (AWS) adds new multi-model engine capabilities to SageMaker as users continue to unlock hidden value in data.

Amazon SageMaker Data Wrangler provides the fastest and easiest way for developers to prepare data for machine learning Amazon SageMaker Feature Store delivers a purpose-built data store for ...

Organizations that are using Amazon SageMaker to build machine learning models got a few new features to play with Tuesday, including options for data preparation, building ML pipelines, and a feature ...

The company’s new products include Amazon SageMaker Data Wrangler, which the company said was providing a way to normalize data from disparate sources so the data is consistently easy to use.