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

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... For a complete index of all the StatQuest videos, check out: https://statquest.org/video-index/ If you'd like to support StatQuest, please consider... Patreon:   / statquest   ...or... YouTube Membership:    / @statquest   ...buying one of my books, a study guide, a t-shirt or hoodie, or a song from the StatQuest store... https://statquest.org/statquest-store/ ...or just donating to StatQuest! https://www.paypal.me/statquest Lastly, if you want to keep up with me as I research and create new StatQuests, follow me on twitter:   / joshuastarmer   #statquest #SVM #kernel