A2 CS 19.2 Lesson 2

Which statements are related to machine learning?

• A subset of AI

• Learns from data

• optimizes its responses over time to reduce errors

• All of the above

Which of the following is a type of machine learning?

• Supervised learning

• Unsupervised learning

• Reinforcement learning

• All of the above

What is an example of machine learning application?

• Recommendation systems

• Natural language processing

• Image recognition

• All of the above

What is the main goal of supervised learning?

• To predict an output based on input data

• To find patterns in unlabeled data

• To optimize responses over time to reduce errors

• None of the above

Which of the following is an example of unsupervised learning?

• Clustering

• Regression

• Classification

• None of the above

What is the primary focus of reinforcement learning?

• To make predictions based on input data

• To learn from labeled data

• To optimize a reward function over time

• None of the above

What is the difference between supervised and unsupervised learning?

• Supervised learning requires labeled data, while unsupervised learning does not

• Unsupervised learning requires labeled data, while supervised learning does not

• Both require labeled data

• None of the above

Which type of machine learning is used for predicting future outcomes?

• Supervised learning

• Unsupervised learning

• Reinforcement learning

• None of the above

Which type of machine learning is used for clustering?

• Supervised learning

• Unsupervised learning

• Reinforcement learning

• None of the above

What is the primary focus of recommendation systems?

• To make predictions based on input data

• To learn from labeled data

• To provide personalized recommendations

• None of the above