L3 Machine Learning Test

What is Machine Learning?

• A way for machines to learn from data and make decisions.
• A machine playing video games.
• A robot that can talk.
• A computer that makes noises.

What do computers need to learn?

• Magic spells.
• Training data.
• A superhero cape.
• Large batteries.

What is training data?

• A list of names of superheroes.
• Information used to teach a computer.
• A computer's memory.
• A machine's power source.

How does a machine learn from training data?

• By guessing randomly using information from the web.

• By reading books.
• By finding patterns in the data.
• By watching TV.

What happens if a machine has more training data?

• It gets more confused.
• It becomes more accurate.
• It becomes less accurate.

• It forgets everything.

What is an example of machine learning?

• A toaster heating bread.
• A robot that can recognize pictures of cats.
• A bicycle moving forward.
• A phone ringing.

What are facts in machine learning?

• Random guesses that are most likely to be truthful.

• True information that helps a machine make decisions.
• Imaginary stories that the machine comes up with by using training data.

• A machine's favorite color.

What are rules in machine learning?

• Guidelines that help the machine make decisions but may not always be true.
• A machine's sleep schedule and ability to work this out autonomously and without human help.

• The way machines play games.
• A list of machine names.

Why is accuracy important in machine learning?

• So the machine makes better predictions.
• So the machine can tell jokes.
• So the machine runs faster, and does not need as many fans to help it keep cool.

• So the machine looks cool.

What happens if a machine doesn't have enough training data?

• It makes more mistakes.
• It becomes a superhero.
• It becomes more accurate and better at understanding.

• It becomes invisible.