MCBDD 2022 Module III: Offline activity

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Dear students of MCBDD,

Please find below the offline activity for Module II. You have to finish it before June 18th, 2022 (Saturday), in order to get credits.

The task: question-guided learning of factor analysis. Use your favorite literature programming tools (i.e. Rmarkdown/Jupyter Notebook) to investigate the topic of factor analysis. Answer the questions below.

Best regards,
David

Given Name *

Family Name *

Question 1: what is factor analysis *

Question 2: What are the relationships between covariance matrix, factor analysis, and principal component analysis (PCA)? *

Question 3: what do we mean with loadings? *

Question 4: Why factors are orthogonal to each other? What’s the consequence?

Question 5: Why factor analysis can be used as a generative model?

Question 6: What is the relationship between factor analysis and autoencoder?

Question 7: how would you explain factor analysis to yourself half year ago?

Please put your code in GitHub or GitLab or other code-hosting service and paste the link below.

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