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Fun, engaging games to boost memory, math fluency, typing speed, and English skills—perfect for learners of all ages.
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Knowledge
Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is bias in machine learning?
💡 Hint: Think about how previous data influences current decisions.
Question 2
Easy
Name a technique used in Explainable AI.
💡 Hint: It starts with a letter 'L' and stands for Local Interpretable Model-agnostic Explanations.
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 is the primary focus of Explainable AI (XAI)?
- Enhancing model accuracy
- Making AI decisions understandable
- Increasing data size
💡 Hint: Consider what 'explainable' implies.
Question 2
True or False: Transparency is not critical for AI systems.
- True
- False
💡 Hint: Think about why users need to understand AI.
Solve and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Your organization deploys a machine learning model for recruitment that exhibits bias against underrepresented groups. Propose a systematic approach to identify and mitigate this bias throughout the model's lifecycle.
💡 Hint: Consider a full lifecycle approach—starting from data collection to monitoring.
Question 2
You are developing an AI system to provide medical diagnoses. Given potential ethical implications, outline how you would ensure accountability and transparency in your system.
💡 Hint: Think about the roles different people play at each stage.
Challenge and get performance evaluation