Welcome to your Chapter 12 - Self Study Quiz
1. How does the ID3 algorithm measure information gain?
2. Why does ID3 work so well for something like predicting the weather?
3. ID3 works by transforming a complex symbol structure into a simple symbol structure. Based on this information alone, what sort of information processing model does ID3 utilize?
4. What can representation learning do that algorithms like ID3 cannot?
5. Traditional machine learning algorithms typically have trouble dealing with which of the following?
6. Which of the following is a key feature of deep learning algorithms?
7. Which of the following is used in designing expert systems?
8. Which of the following features do deep learning systems share with regular neural network systems?
9. The goal of an autoencoder is to produce an output as similar to the input as possible.
10. Traditional neural networks are sparely connected.
11. Convolutional Neural Networks have which of the following features?
12. Reinforcement learning is a kind of unsupervised learning.
13. AlphaGo Zero’s training is through reinforcement learning.
14. Which statement about reinforcement learning is correct?
