A healthcare technology company is developing aws video
ai-practitioner video for a healthcare technology company is developing machine learning models to analyze both structured data, such as patient records, and
Full Certification Question
A healthcare technology company is developing machine learning models to analyze both structured data, such as patient records, and unstructured data, such as medical images and clinical notes. The data science team is working on feature engineering to extract the most relevant information for the models but is aware that the process differs depending on whether the data is structured or unstructured. To ensure they approach each data type correctly, they need to understand the key differences in feature engineering tasks for structured versus unstructured data in machine learning. What is a key difference in feature engineering tasks for structured data compared to unstructured data in the context of machine learning?