3: Support Vector Machine(SVM) - Deepstash
3: Support Vector Machine(SVM)

3: Support Vector Machine(SVM)

Originated in 1963, Support Vector Machine (SVM) is a core algorithm that crops up frequently in new research. Under SVM, vectors map the relative disposition of data points in a dataset, while support vectors delineate the boundaries between different groups, features, or traits.

Since support Vector Machines can effectively and agnostically address high-dimensional data of many kinds, they crop up widely across a variety of machine learning sectors, including deepfake detection, image classification, hate speech classification, DNA analysis and population structure prediction.

149

415 reads

CURATED FROM

IDEAS CURATED BY

The Math Of Machine Learning

The idea is part of this collection:

Introduction to Web 3.0

Learn more about computerscience with this collection

The differences between Web 2.0 and Web 3.0

The future of the internet

Understanding the potential of Web 3.0

Related collections

Read & Learn

20x Faster

without
deepstash

with
deepstash

with

deepstash

Personalized microlearning

100+ Learning Journeys

Access to 200,000+ ideas

Access to the mobile app

Unlimited idea saving

Unlimited history

Unlimited listening to ideas

Downloading & offline access

Supercharge your mind with one idea per day

Enter your email and spend 1 minute every day to learn something new.

Email

I agree to receive email updates