How to mathematically maximize the width of a decision street
In short: In this lecture from MIT's Artificial Intelligence course, instructor Patrick Winston explores the mathematical mechanics behind Support Vector Machines and how they separate data.
The video delves into the mathematical details of Support Vector Machines, demonstrating how Lagrange multipliers can be used to maximize the width of a street under specific constraints. It also examines the use of kernel functions to transform vectors into different spaces when necessary.
Opens the Intellect+ feed with this card first. Swipe up for the next one.
Sources
- Summary by Intellect · source: 16. Learning: Support Vector Machines
- Also: Lecture 16: Learning: Support Vector Machines | MIT Learn
- Also: ocw.mit.edu — Lecture 16: Learning: Support Vector Machines | Artificial Intelligence | Electrical Engineering and Computer Science | MIT OpenCourseWare
To cite this card, link to https://intellectplus.co.uk/app/ideas-16-learning-support-vector-machines.
How we source, check and correct cards: Editorial standards.
General information, not professional advice. Spotted an error? Flag the card or see corrections and complaints.
Intellect Plus is a visual educational discovery platform for exploring fascinating facts and ideas. Brain Food, Not Brain Rot. What is Intellect Plus?
Related
More in Artificial intelligence · More in Ideas & Philosophy · Latest · A–Z · All topics
