Practice - Introduction to AI Algorithms
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Practice Questions
Test your understanding with targeted questions
Define supervised learning in your own words.
💡 Hint: Think about what the model learns from during training.
What is unsupervised learning?
💡 Hint: Consider what types of data it works with.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What type of learning uses labeled datasets?
💡 Hint: Think about the data type used during training.
True or False: Unsupervised learning requires labeled data.
💡 Hint: Reflect on how unsupervised learning works.
1 more question available
Challenge Problems
Push your limits with advanced challenges
Given a dataset with no labels, which machine learning approach would you choose to explore the data's hidden structures? Justify your choice.
💡 Hint: Consider how you could derive insights without any prior information.
In which scenarios would a reinforcement learning algorithm outperform a supervised algorithm? Discuss two distinct cases.
💡 Hint: Think of situations where actions impact future decisions.
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Reference links
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