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: Theory and Applications - Lecture 21

UofU Data Science via YouTube

Start learning Write review
Scrimba Ad

Free courses from frontend to fullstack and AI

Learn More → Financial Edge Ad

The Private Equity Associate Certification

Learn More →

Overview

Google, IBM & Meta Certificates – 40% Off
One plan covers every Professional Certificate on Coursera.
Unlock All Certificates
Learn advanced concepts of Support Vector Machines (SVMs) in this 57-minute lecture that builds upon foundational SVM principles, diving deeper into their mathematical framework and practical applications in machine learning classification problems.

Syllabus

Machine learning: Lecture 21a: SVMs (continued)

Taught by

UofU Data Science

Reviews

Start your review of Support Vector Machines: Theory and Applications - Lecture 21

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.