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:

  • neural networks

  • support vector machines

  • ensemble learning

2. Why do many people believe that the doomsday prediction of universal unemployment is wrong?

Select an answer:

  • Waste will decline.

  • Productivity will increase.

  • Quality will improve.

  • Boredom will decrease.

3. How can you readily improve the performance of unsupervised cluster analysis?

Select an answer:

  • Let the algorithm use a large number of clusters.

  • Specify the number of clusters or the target features.

  • Rule out anomalies and outliers.

  • Consider only segments of the data at one time.

4. What distinguishes vital applications from those that are just valuable?

Select an answer:

  • Vital applications are mandatory for remaining competitive.

  • Valuable applications provide more return to the organization.

  • Vital applications are simpler than valuable applications.

  • Valuable applications can require much more investment.

5. What is the essence of the doomsday prediction for the future of AI?

Select an answer:

  • People will not have interesting work.

  • It will eliminate most jobs.

  • It will result in adoption of flawed technology.

  • Human creativity will become unnecessary.

6. In which situation is reinforcement learning easiest to use?

Select an answer:

  • There is one output for a sequence of several actions.

  • There are several outputs for every action.

  • There is one output for every action.

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