Machine Learning Basics

What is machine learning?

• A) A type of AI that improves by analyzing data and patterns

• B) A machine that physically learns to move

• C) A program that never changes after it is created

• D) A type of AI that only works on supercomputers

Which type of machine learning uses labeled examples to train AI?

• Unsupervised Learning

• Supervised Learning

• Reinforcement Learning

• Neural Networks

What does reinforcement learning use to improve AI performance?

• Random guesses

• A reward and punishment system

• Only human-written rules

• A fixed set of data that never changes

How does bias affect machine learning?

• AI always makes fair decisions, so bias is not an issue

• Bias in data can cause AI to make unfair or inaccurate predictions

• AI removes all bias automatically

• Bias helps AI perform better in all situations

What is an example of machine learning in real life?

• A) A basic calculator solving 2+2

• B) A person writing an essay in Microsoft Word

• C) Netflix recommending shows based on your viewing history

• D) A printer making a copy of a document