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The shape of data network science, geometry-based machine learning, and topological data analysis in R

"The Shape of Data shows how to use geometry- and topology-based algorithms for machine learning. The book focuses on practical applications rather than dense mathematical concepts, with coding examples using social network data, text data, medical data, and education data."--

Bibliographic Details
Main Authors: Farrelly, Colleen, Gaba, Yaé Ulrich (Author)
Format: eBook
Language:English
Published: San Francisco, CA No Starch Press 2023
Subjects:
R (langage De Programmation)
Machine Learning / Http://id.loc.gov/authorities/subjects/sh85079324
Geometric Programming / Fast
R (computer Program Language) / Fast
Topologie
Machine Learning / Fast
System Analysis / Data Processing / Http://id.loc.gov/authorities/subjects/sh85131735
Analyse De Systèmes / Informatique
Apprentissage Automatique
Programmation Géométrique
System Analysis / Data Processing / Fast
Geometric Programming / Http://id.loc.gov/authorities/subjects/sh85054126
Topology / Fast
R (computer Program Language) / Http://id.loc.gov/authorities/subjects/sh2002004407
Topology / Http://id.loc.gov/authorities/subjects/sh85136089
Online Access:
Collection: O'Reilly - Collection details see MPG.ReNa
Description
Summary:"The Shape of Data shows how to use geometry- and topology-based algorithms for machine learning. The book focuses on practical applications rather than dense mathematical concepts, with coding examples using social network data, text data, medical data, and education data."--
Physical Description:xxiii, 233 pages illustrations
ISBN:9781718503090
1718503091

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