8.5 Lesson 2 - Data driven machine learning

What is machine learning?

• A type of computer hardware

• A type of artificial intelligence that allows computers to learn from data

• A way to build websites

• A method for cleaning data

In supervised learning, what does the computer use to learn?

• Data with no answers

• Data with correct answers (labelled examples)

• Only numbers

• Random guesses

Which type of machine learning involves the computer finding patterns without knowing the correct answers in advance?

• Supervised learning

• Unsupervised learning

• Reinforcement learning

• Deep learning

What is an example of supervised learning?

• Grouping music into playlists

• A robot learning to walk

• Email programmes learning to identify spam messages

• Sorting books by colour

How does reinforcement learning work?

• By copying other computers

• By learning from labelled data

• By trial and error, receiving feedback or rewards

• By memorising all data

Which of the following is NOT a type of machine learning mentioned in the text?

• Supervised learning

• Unsupervised learning

• Reinforcement learning

• Predictive learning

What is classification in machine learning?

• Assigning new data to a category (class)

• Sorting data by size

• Deleting unwanted data

• Encrypting data

Which type of machine learning is often used for classification?

• Unsupervised learning

• Reinforcement learning

• Supervised learning

• None of the above

What is an example of unsupervised learning?

• Grouping customers into similar groups

• Predicting tomorrow’s weather

• A robot learning to walk

• Email spam detection

Which of the following best describes reinforcement learning?

• Learning from labelled examples

• Learning by finding patterns in unlabelled data

• Learning by trying actions and improving from feedback

• Learning by copying human behaviour