01Which statement best describes the relationship between AI, ML, and Deep Learning?
02In traditional programming, what produces the output?
03What does the 'Garbage In, Garbage Out' principle mean for AI builders?
04Which type of learning involves a system of rewards and penalties, like a robot learning to walk?
05What is 'overfitting' in machine learning?
06What is the primary difference between 'Narrow AI' and 'General AI' (AGI)?
07In Machine Learning, what is a 'Feature'?
08Which of these is an example of 'Unsupervised Learning'?
09What is 'Feature Engineering'?
10What does 'Generalization' mean in the context of ML?