Support Vector Machines Part 2: The Polynomial Kernel (Part 2 of 3)
SVM with polynomial kernel visualization
Lecture 7 - Kernels | Stanford CS229: Machine Learning Andrew Ng (Autumn 2018)
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Last Updated: September 19, 2026
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Summary
SVM can only produce linear boundaries between classes by default, which not enough for most machine learning applications. Some parametric methods, polynomial regression and Support Vector Machines stand out as being very versatile. This is due ... This video is part of the Udacity course "Introduction to Computer Vision". Watch the full course at ... my content? Consider supporting the channel. The link is provided below- campusx.mojo.page/support-campusx if you this Video Support me for more Videos : paypal.me/ismailelmahii* *GET ALL THE CODES AND DATASETS ... See uvaml1.github.io for annotated slides and a week-by-week overview of the course. This work is licensed under a ... See a new version of this video in HD: youtu.be/OdlNM96sHio A visual demonstration of ... theorem 13:20 Logistic Regression 26:31 The dual optimization problem 28:48 Apply kernels 28:56