Question: 1. Which type of algorithm would you choose for complex pattern recognition? Select an answer: neural networks support vector machines ensemble learning 2. Why do
1. Which type of algorithm would you choose for complex pattern recognition?
Select an answer:
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neural networks
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support vector machines
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ensemble learning
2. Why do many people believe that the doomsday prediction of universal unemployment is wrong?
Select an answer:
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Waste will decline.
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Productivity will increase.
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Quality will improve.
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Boredom will decrease.
3. How can you readily improve the performance of unsupervised cluster analysis?
Select an answer:
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Let the algorithm use a large number of clusters.
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Specify the number of clusters or the target features.
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Rule out anomalies and outliers.
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Consider only segments of the data at one time.
4. What distinguishes vital applications from those that are just valuable?
Select an answer:
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Vital applications are mandatory for remaining competitive.
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Valuable applications provide more return to the organization.
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Vital applications are simpler than valuable applications.
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Valuable applications can require much more investment.
5. What is the essence of the doomsday prediction for the future of AI?
Select an answer:
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People will not have interesting work.
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It will eliminate most jobs.
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It will result in adoption of flawed technology.
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Human creativity will become unnecessary.
6. In which situation is reinforcement learning easiest to use?
Select an answer:
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There is one output for a sequence of several actions.
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There are several outputs for every action.
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There is one output for every action.
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