Practice - Module Objectives (for Week 10)
Practice Questions
Test your understanding with targeted questions
What does GMM stand for?
💡 Hint: It involves clustering based on probability distributions.
What is the purpose of feature selection?
💡 Hint: Think about selecting essential ingredients for a recipe.
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What does the 'soft assignment' feature of GMM allow?
💡 Hint: Think about how data points can belong to more than one group.
True or False: Anomaly detection is always a supervised learning task.
💡 Hint: Consider if the anomalies are known in advance.
1 more question available
Challenge Problems
Push your limits with advanced challenges
You have a high-dimensional dataset from customer behavior with some anomalies. Outline how you would approach identifying these anomalies using the methods discussed.
💡 Hint: Combine techniques strategically for best results.
Given a dataset with both substantial and irrelevant features, propose an approach for managing dimensionality effectively.
💡 Hint: Think about how to maintain clarity while reducing dimensions.
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Reference links
Supplementary resources to enhance your learning experience.