Practice - Algorithms
Practice Questions
Test your understanding with targeted questions
What does a contextual bandit allow an agent to do?
💡 Hint: Think about why context is crucial for decision making.
Name one algorithm discussed for tackling contextual bandit problems.
💡 Hint: Consider which algorithm bases its decisions on linear models.
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What is the fundamental concept behind contextual bandits?
💡 Hint: Reflect on how context supports better decisions.
LinUCB adapts to new data by using which technique?
💡 Hint: Consider how a linear model functions.
3 more questions available
Challenge Problems
Push your limits with advanced challenges
Given a dataset of user interactions with ads, how would you implement an adaptive ad-selection mechanism using LinUCB? Outline the steps.
💡 Hint: Focus on what context features would be pivotal for the algorithm.
You are tasked with designing a campaign with Contextual Thompson Sampling. How would you model the reward distributions for various ads?
💡 Hint: Think about the role of past performance in shaping current actions.
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Reference links
Supplementary resources to enhance your learning experience.