Docsity
Docsity

Prepare for your exams
Prepare for your exams

Study with the several resources on Docsity


Earn points to download
Earn points to download

Earn points by helping other students or get them with a premium plan


Guidelines and tips
Guidelines and tips

Understanding Instance-Based Modeling in Data Science - Prof. Jennifer D. Morrison, Study notes of Introduction to Sociology

An introduction to instance-based modeling, a machine learning approach that uses specific instances or cases to make predictions. Topics covered include the concept of instance-based learning, its advantages and disadvantages, and popular instance-based models like k-nearest neighbors (k-nn) and instance-based learning trees (iblt).

Typology: Study notes

2011/2012

Uploaded on 01/31/2012

amberbander09
amberbander09 🇺🇸

4 documents

1 / 1

Toggle sidebar

Related documents


Partial preview of the text

Download Understanding Instance-Based Modeling in Data Science - Prof. Jennifer D. Morrison and more Study notes Introduction to Sociology in PDF only on Docsity! < . cxj^ a\. £| •v~i_ c^cu do _tks/\Qb _ ^xLd_o_ gc to uov^o- -vKfi- jobs arc ; gdrg.ou& laid cxA , go " 3 -m.'t ti> Consider 8Tfc£ ep fd -fKi. sfWati'on fthf •. <?njb instance - m/cro |t_s«ve ' wU. OurV iv\ u;c U ^; uv;.orV- toy.jftu.v CT ,. -j— \ tme wm r̂ M^ SfciUfi ^ histem - CftnfVvcVv 'aU^ents v - ' V pb\ice or ViCttnoS vxct t- iS a
Docsity logo



Copyright © 2024 Ladybird Srl - Via Leonardo da Vinci 16, 10126, Torino, Italy - VAT 10816460017 - All rights reserved