Your question is ML vs Deep Learning. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
What is the difference between deep learning and machine learning?
Explain the relationship between the two terms and compare them across model architecture, feature engineering, data requirements, computational cost, interpretability, and suitable use cases. Support the explanation with a small Python experiment that compares a traditional machine-learning model with a neural-network model on the same supervised dataset. State which evaluation metrics you would use and how you would make the comparison fair.
