Y9 - AI - L02 - How does Machine Learning work?

What are the three main types of machine learning?

• Supervised, Unsupervised, and Reinforcement

• Unsupervised, Reinforcement, and Deep Learning

• Supervised, Unsupervised, and Semi-supervised

• Supervised, Reinforcement, and Deep Learning

In supervised learning, what is the role of the example data?

• To confuse the model

• To train the model with known outputs

• To provide the model with random data

• To test the model's accuracy

Why is it called supervised learning?

• Because it only works with supervised data

• Because the model is given the correct answers during training

• Because it doesn't require any human intervention

• Because the computer is watched while it works

What is the first step in supervised learning?

• Organizing data

• Using labeled data for training

• Predicting outcomes

• Receiving feedback

What is an example of a problem that supervised learning can solve?

• Learning to cook

• Predicting the weather

• Grouping similar users

• Catching a ball with a robot arm

Which type of machine learning is best for weather forecasting?

• Supervised learning

• Reinforcement learning

• Deep learning

• Unsupervised learning

How does unsupervised learning differ from supervised learning?

• It is used for predicting outcomes

• It requires human supervision

• It organizes data without predefined labels

• It uses labeled data

What is a common application of unsupervised learning?

• Learning to cook

• Catching a ball with a robot arm

• Grouping similar users in streaming services

• Weather forecasting

What is the main goal of unsupervised learning?

• To predict outcomes

• To organize data into useful groups

• To use labeled data for training

• To learn through trial and error

What is the main characteristic of reinforcement learning?

• It uses labeled data

• It organizes data without labels

• It learns through trial and error

• It requires no feedback