Practice Methods (5.6.1) - Latent Variable & Mixture Models - Advance Machine Learning
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Methods

Practice - Methods

Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What does AIC stand for?

💡 Hint: Think of a name associated with model selection.

Question 2 Easy

What does a lower AIC value indicate?

💡 Hint: Lower scores are often seen as favorable in statistics.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What does AIC stand for?

Alpha Information Criterion
Akaike Information Criterion
Alternative Information Criterion

💡 Hint: Remember that it relates to model selection.

Question 2

A lower BIC is indicative of what?

True
False

💡 Hint: Lower is generally better in model selection criteria.

2 more questions available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Discuss the implications of choosing a model based solely on AIC when the underlying data is non-Gaussian.

💡 Hint: Explore the types of data and their fundamental properties.

Challenge 2 Hard

Given a scenario with a dataset of 100 samples, explain how you would approach model selection using AIC and BIC.

💡 Hint: Think about how sample size affects the model's evaluation.

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Reference links

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