Which AWS service provides tools for training and deploying machine learning models in the cloud?

Amazon SageMaker is the AWS service specifically designed for training and deploying machine learning models in the cloud. It offers a comprehensive suite of tools that streamline the entire machine learning process, from data preparation and model training to deployment and monitoring. SageMaker provides built-in algorithms, supports various frameworks, and enables users to build, train, and tune models at scale with ease. Additionally, it allows developers to deploy their models with just a few clicks, making it a go-to option for machine learning practitioners looking for an efficient way to integrate machine learning capabilities into their applications.

In contrast, other services like Amazon Rekognition, Amazon Translate, and Amazon Comprehend are specialized tools for specific tasks such as image and video analysis, language translation, and natural language processing, respectively. While they utilize machine learning behind the scenes, they do not offer the broad range of functionalities for end-to-end machine learning model development and deployment that Amazon SageMaker does.