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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is semi-supervised learning?
💡 Hint: Think of the labeled data guiding the learning.
Question 2
Easy
What does an agent learn from in reinforcement learning?
💡 Hint: Focus on how actions affect outcomes.
Practice 4 more questions and get performance evaluation
Interactive Quizzes
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What type of data does semi-supervised learning use?
- Only labeled data
- Only unlabeled data
- Both labeled and unlabeled data
💡 Hint: Remember the definitions of semi-supervised learning.
Question 2
True or False: In reinforcement learning, the agent learns without receiving any feedback.
- True
- False
💡 Hint: Consider how rewards influence learning.
Solve and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Analyze a dataset where labeling new data would be costly and suggest how semi-supervised learning could improve the model's performance.
💡 Hint: Consider the balance of class proportions.
Question 2
Propose methods to effectively implement reinforcement learning for a task where an agent needs to learn walking without falling.
💡 Hint: Think about how human learning occurs.
Challenge and get performance evaluation