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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is a Contextual Bandit?
π‘ Hint: Think of how user data may influence recommendations.
Question 2
Easy
How does LinUCB differ from traditional MAB?
π‘ Hint: Focus on the role of context in LinUCB.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What do Contextual Bandits use to inform their choices?
π‘ Hint: Think about personalization in recommendation systems.
Question 2
True or False: Contextual Bandits do not consider context.
π‘ Hint: Remember what sets Contextual Bandits apart from MAB.
Solve 1 more question and get performance evaluation
Push your limits with challenges.
Question 1
Design a Contextual Bandit algorithm for a new streaming service that considers user viewing history and preferences.
π‘ Hint: Consider what features best reflect user interests.
Question 2
Discuss the pitfalls of implementing Contextual Bandits in real-time systems.
π‘ Hint: Reflect on the dynamic nature of user preferences.
Challenge and get performance evaluation