The technical support of the tool was good.
Amazon SageMaker simplifies deploying machine learning models with features like one-touch deployment, Autopilot, and hyperparameter tuning. It supports diverse ML workloads and integrates with AWS tools, enhancing collaboration. However, pricing concerns, documentation clarity, integration with tools like Hadoop, and security issues need addressing. Enhancing low-code capabilities would benefit users with limited coding skills for data science tasks. Its comprehensive toolset centralizes activities, offering efficiency but demands attention on cost and usability.
