Artificial Intelligence Learning Methods Quiz

What is the main goal of supervised learning?

• To adapt algorithms to derive precise answers from known data

• To iteratively try out solutions through trial and error

• To recognize patterns in unlabeled data

• To identify data groups with similar characteristics

Which method is NOT typically used in supervised learning?

• Linear regression

• K-Means clustering

• Decision tree method

• Linear discriminant analysis

In unsupervised learning, what type of data does the algorithm receive?

• Structured data

• Unlabeled data

• Predefined target values

• Labeled data

What is a common application of unsupervised learning?

• Optimizing algorithms

• Recognizing patterns in social media behavior

• Classifying images

• Predicting car prices

What drives the iterative process in reinforcement learning?

• Predefined outcomes

• Rewards and punishments

• Labeled datasets

• Human intervention

Which of the following is a method used in unsupervised learning?

• Linear regression

• Hierarchical clustering

• Decision tree method

• Support vector machines

What does the algorithm do in reinforcement learning after making a decision?

• It adapts the input variables

• It analyzes the input data

• It receives feedback based on its action

• It stops learning

What is a characteristic of supervised learning?

• Identifying connections between input and output variables

• Learning from interaction with the environment

• Recognizing patterns independently

• No predefined target values

Which learning method is often used when few training data is available?

• Deep learning

• Reinforcement learning

• Unsupervised learning

• Supervised learning

What is the outcome of the reinforcement learning process?

• Static algorithms

• Continuous improvement of strategies

• A single optimal solution

• Predefined patterns