A financial services company is exploring the use of AI to improve fraud detection and automate credit risk assessments. The data science team is evaluating whether to use traditional machine learning techniques or deep learning, depending on the complexity of the tasks and the size of the data involved. Understanding the key differences between deep learning and traditional machine learning will help the team choose the right approach. Which of the following would you suggest to the team? (Select two)