What is a key feature of Amazon SageMaker?

The key feature of Amazon SageMaker is that it provides tools for every step of machine learning (ML) development. This comprehensive support includes functionalities for data labeling, data preparation, model training, hyperparameter tuning, and deployment of ML models. The platform is designed to help developers and data scientists streamline the entire ML workflow, enabling them to build, train, and deploy models efficiently.

By offering an integrated suite of tools, Amazon SageMaker makes it easier for users to manage the complexities involved in machine learning projects, thus facilitating better results and reducing time-to-market for ML applications. Additionally, it provides support for a variety of ML approaches, including supervised and unsupervised learning, making it versatile for different types of projects and use cases.