Which AWS service is commonly used for applying machine learning algorithms?

Amazon SageMaker is a fully managed service that enables developers and data scientists to build, train, and deploy machine learning models quickly and efficiently. It provides a comprehensive suite of tools for the entire machine learning workflow, including data labeling, training algorithms, tuning, and model deployment. SageMaker also supports built-in algorithms and frameworks, making it easy to leverage machine learning without requiring deep expertise in the area.

The service streamlines the process of creating machine learning applications by offering features such as Jupyter notebooks for exploratory data analysis, model hosting capabilities, and integration with other AWS services to facilitate data storage and processing. This makes it the go-to service for tasks focused on applying machine learning algorithms within the AWS ecosystem.