Kernels and SVM in Machine Learning and Data Science, Cheat Sheet of Introduction to Machine Learning

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2019/2020

Uploaded on 02/24/2023

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ENCS5341
Machine Learning and Data Science
Kernels and SVM
Yaz an Ab u F arh a -Birzeit University
Based on slides prepared by Tam ás Horváth
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ENCS

Machine Learning and Data Science

Kernels and SVM

Yazan Abu Farha - Birzeit University Based on slides prepared by Tamás Horváth

Linear separation

  • For a linearly separable data there are infinitely many separating hyperplanes.
  • Which one to chose

Noise tolerating linear separation

Arguments for maximum margin hyperplane

  • Robust against noise.
  • Excellent predictive performance in practice.
  • Separating hyperplane becomes unique.

Example: distance from a hyperplane

  • Signed distance of the point (0,0) from f is 𝑑 = #( %,% ) (!,!)

() "

  • Signed distance of the point (3,3) from f is 𝑑 = #( ),) ) (!,!)

) " x 1 x 2 1 2 3 1 2 3