Practice Enabling Scientific Discovery And Knowledge Extraction (3.1.4) - Advanced ML Topics & Ethical Considerations (Weeks 14)
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Enabling Scientific Discovery and Knowledge Extraction

Practice - Enabling Scientific Discovery and Knowledge Extraction

Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What does LIME stand for?

💡 Hint: Look for keywords starting with each letter.

Question 2 Easy

What does SHAP help to explain in machine learning?

💡 Hint: Think of game theory terms.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the primary goal of Explainable AI?

Improve prediction accuracy
Enhance interpretability
Reduce computation time

💡 Hint: Consider why scientists need to trust AI.

Question 2

True or False - SHAP is exclusively for explaining linear models.

True
False

💡 Hint: Reflect on what 'model-agnostic' means.

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Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Develop an argument for or against the necessity of XAI in AI systems used in criminal justice.

💡 Hint: Reflect on the implications of accountability in society.

Challenge 2 Hard

Analyze a situation where model transparency could lead to better scientific outcomes in climate modeling.

💡 Hint: Think about how understanding influences decisions in science.

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Reference links

Supplementary resources to enhance your learning experience.