2.5 Improving k-nearest neighbors (L02: Nearest Neighbor Methods)

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This video summarizes some of the common tricks for making k-nearest neighbors more efficient in terms of computational performance and predictive performance.

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This video is part of my Introduction of Machine Learning course.

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  1. Sebastian Raschka
  2. machine learning
  3. k-nearest neighbors
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Комментарии
Автор

at 8:43 u said we can remove those diamond points as they are not changing the prediction for k=3 but if k=2 or k=1 then we can not just ignore this I right (if not please correct me)

tarangagarwal
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kak itu apakah selalu distance dipangkatkan -2 ?

kevinardho
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It doesn't look like Dimensionality Reduction was covered in details later in the course.

rex
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Can U add English subtitles for all videos plz?

wesamelbaz