Cloud-native services for machine learning refer to platforms and tools designed to leverage cloud computing’s scalability, flexibility, and efficiency for developing, training, and deploying machine learning models. These services enable data scientists and developers to build and manage machine learning workflows without the need for extensive infrastructure management. By utilizing cloud-native architectures, organizations can easily scale resources, automate processes, and integrate various data sources. Major cloud providers, such as Microsoft Azure, Amazon Web Services, and Google Cloud, offer specialized services that streamline the machine learning lifecycle, making it accessible and efficient for businesses of all sizes.