Coursera Plus Annual is 40% Off — Ends July 13.

Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

Support Vector Machines - Continued

Pascal Poupart via YouTube

Start learning Write review
Boot.dev Ad

The Fastest Way to Become a Backend Developer Online

Learn More → DataCamp Ad

Power BI Fundamentals - Create visualizations and dashboards from scratch

Learn More →

Overview

Google, IBM & Meta Certificates – 40% Off
One plan covers every Professional Certificate on Coursera.
Unlock All Certificates
Learn about advanced concepts in support vector machines (SVMs) in this comprehensive lecture. Explore soft margins, slack variables, and penalty terms to handle non-linearly separable data. Discover how to extend SVMs to multi-class problems using pairwise comparison and continuous ranking techniques. Gain insights into the practical applications of SVMs for complex classification tasks.

Syllabus

Introduction
Problem
Soft Margin
Slack Variables
Penalty Term
Soft Margins
Multiple Classes
Pairwise Comparison
Continuous Ranking
MultiClass Margin

Taught by

Pascal Poupart

Reviews

Start your review of Support Vector Machines - Continued

Start learning

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Sign up for free
Someone learning on their laptop while sitting on the floor.