Support Vector Machines Part 2: The Polynomial Kernel (Part 2 of 3)

Описание: Support Vector Machines use kernel functions to do all the hard work and this StatQuest dives deep into one of the most popular: The Polynomial Kernel. We talk about the parameter values and how they calculate high-dimensional coordinates via the dot-product and high-dimensional relationships

NOTE: This StatQuest assumes you already know about...
Support Vector Machines:    • Support Vector Machines Part 1 (of 3): Mai...  
Cross Validation:    • Machine Learning Fundamentals: Cross Valid...  

ALSO NOTE: This StatQuest is based on...
1) The description of Kernel Functions, and associated concepts on pages 352 to 353 of the Introduction to Statistical Learning in R: http://faculty.marshall.usc.edu/garet...
2) The Polynomial Kernel is also based on the Kernel used by scikit-learn: https://scikit-learn.org/stable/modul...

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