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Data · dataset · 2025

Machines à vecteurs de support (classificateurs à vaste marge) | Support vector machines

Listed in Borealis

This machine learning training explores the power and versatility of Support Vector Machines (SVMs), a class of models that employ mathematical optimization to find maximum margin hyperplanes for classification.

Description

The training comprises four notebooks: Regularization, Kernels, Deeper Understanding, and Noise Reduction.

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Where it is published

Catalogue records · 1

Topics

Provenance · 1 source records, 12 field assertions
SourceKeyLast seenRaw
Borealisdoi:10.5683/SP3/NTAUQT12 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].anzsrc:group:4602mapping · borealisdata cavocabulary-mapper@1.0.0keywords['Artificial Intelligence']
concepts[field].anzsrc:group:4611mapping · borealisdata cavocabulary-mapper@1.0.0keywords['Machine Learning']
concepts[field].dataverse_subject:computer-and-information-sciencesource · borealisdata caconnector:borealisdata_ca@1.0.0/subjects
concepts[field].dataverse_subject:social-sciencessource · borealisdata caconnector:borealisdata_ca@1.0.0/subjects
concepts[field].local:field:computer-science-aimapping · borealisdata caconnector:borealisdata_ca@1.0.0/subjects
concepts[field].local:field:social-sciencemapping · borealisdata caconnector:borealisdata_ca@1.0.0/subjects
created_datesource · borealisdata caconnector:borealisdata_ca@1.0.0
descriptionsource · borealisdata caconnector:borealisdata_ca@1.0.0/description
publication_datesource · borealisdata caconnector:borealisdata_ca@1.0.0
titlesource · borealisdata caconnector:borealisdata_ca@1.0.0/name
updated_datesource · borealisdata caconnector:borealisdata_ca@1.0.0
version_labelsource · borealisdata caconnector:borealisdata_ca@1.0.0