Huong Nguyen

Data preparation for ML can be a challenging process. Organizations spend time extracting and normalizing data and performing feature engineering for text, image, or tabular data, which can take weeks.

Building machine learning (ML) models can be complex and time-consuming. Amazon SageMaker Canvas simplifies the experience by providing a visual interface to generate accurate ML predictions without having to write a single line of code.

Data preparation for ML can be a challenging process. It requires extracting and normalizing data and performing feature engineering, which can be time-consuming.