yo

2025-10-31 17:38:04 +00:00 · 2017-03-02 01:22:58 -05:00 · 2017-03-02 01:22:58 -05:00 · 7e70712a70
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+    know linear regression very well
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+ make sure you know R^2 and RSE and so on statistics
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+    MSE, is this related to something called D^2? might have misheard the prof with that one. 
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+    given some data set: what method to use?
+    quantitative or qualitative? --> then what method specifically? need to explain why to choose this method. bias-variance tradeoff; will the bias be high or low, and why?  
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+    bootstraps, cross-examination
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+    uneven classes (look at for example LDA on Credit Data)
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+    PCR and PCA is very useful but probably less important for the exam
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