Quiz 2

Tomas is programming an app to help people find their way in his city. He programs every possible route from the university auditorium to the museum.

Which of the following is Tomas likely using?

• Heurostic Computing

• Programmable computing

• Deep learning

• Machine learning

Fill in the blank. Machine learning can analyze ______________ data more quickly than a programmable computer can.

• supervised

• triangulated

• dark

• structured

Which of the following is an example of a probabilistic calculation?

• An unreliable calculation

• Wording that is probably correct

• A strong feeling you are most likely correct

• A 78% chance of being wrong

Why does machine learning find answers in unstructured data more quickly than a programmable computer?

• Machine learning assembles all the data into a table before calculating.

• Machine learning analyzes every data combination.

• Machine learning can search every combination of factors very quickly.

• Machine learning can search every combination of factors very quickly.

Complete the sentence. Machine learning is a type of AI with many advantages over programmable computers, including the distinguishing capability to _______________ and _______________.

• predict, learn

• search, define

• use databases, find solutions

• use structured data, locate solutions

Fill in the blank. All supervised learning algorithms need ___________ data.

• unstructured

• raw

• labeled

• unlabeled

Which method of learning does an AI system use when it uses the process of trial and error?

• Classical conditioning

• Unsupervised learning

• Supervised learning

• Reinforcement learning

  
  

Fill in the blank. ______________ learning occurs when the algorithm is given unlabeled data.

• Reinforcement

  
  

• Classical

• Unsupervised

• Supervised

YouTube and Netflix often recommend options to users.

What kind of learning is used to generate these recommendations?

• Supervised learning

• Commentary learning

• Unsupervised learning

• Reinforcement learning

You train Google Photos to identify people in photographs. As a result, Google Photos can recognize their faces.

 

What kind of learning is this?

• Transitory learning

• Supervised learning

• Unsupervised learning

• Reinforcement learning