CS480/680 Lecture 2: K-nearest neighbours

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Pascal Poupart

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Day 1 complete. Amazing lecture. Thank you professor.

rain

Inductive learning and deductive learning are two approaches to machine learning. Inductive learning involves learning from examples, while deductive learning involves learning from rules and knowledge.

vamsiteja-ntmq

Hi! Has dimensionality reduction been discussed in any of these lectures, PCA and t-Sne in specific? If yes, please share the lecture number. I didn't see any lecture name targeting this topic.

ambujmittal

Great Lecture! I have a question: in K nearest neighbor, is it possible that the test accuracy will be larger than training accuracy as K increase? Thanks!

stevenyang

Patient lecturer!
In K-fold validation, average accuracy is reported. So, there is no testing set? Or, the average accuracy is reported as training accuracy?
In K-fold validation, you get K models. So, which model to use among the K models?

subramaniannk

Hi … I have a question why the need of a lot of data in larger hypothesis space maybe I could use the same exact data for all the hypotheses in the hypothesis space ?

hibamajdy

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