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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"--
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
San Francisco, CA :
No Starch Press,
[2023]
|
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
| LEADER | 00000cam a2200000 i 4500 | ||
|---|---|---|---|
| 001 | OR_on1371653872 | ||
| 003 | OCoLC | ||
| 005 | 20231017213018.0 | ||
| 006 | m o d | ||
| 007 | cr ||||||||||| | ||
| 008 | 230218s2023 cau ob 000 0 eng | ||
| 010 | |a 2022059968 | ||
| 040 | |a DLC |b eng |e rda |c DLC |d OCLCF |d ORMDA |d N$T |d YDX |d TEFOD |d OCLCO | ||
| 020 | |a 1718503091 |q electronic book | ||
| 020 | |a 9781718503090 |q electronic book | ||
| 020 | |z 9781718503083 |q paperback | ||
| 035 | |a (OCoLC)1371653872 | ||
| 037 | |a 9781098156886 |b O'Reilly Media | ||
| 037 | |a 79B59F9E-AB34-4644-8DE9-074AD452B56A |b OverDrive, Inc. |n http://www.overdrive.com | ||
| 042 | |a pcc | ||
| 050 | 0 | 0 | |a T57.825 |b .F37 2023 |
| 082 | 0 | 0 | |a 006.3/1 |2 23/eng/20230301 |
| 049 | |a UAMI | ||
| 100 | 1 | |a Farrelly, Colleen, |e author. | |
| 245 | 1 | 4 | |a The shape of data : |b network science, geometry-based machine learning, and topological data analysis in R / |c by Colleen M. Farrelly and Yaé Ulrich Gaba. |
| 264 | 1 | |a San Francisco, CA : |b No Starch Press, |c [2023] | |
| 300 | |a 1 online resource | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 504 | |a Includes bibliographical references. | ||
| 505 | 0 | |a Why geometry? -- Introduction to network data -- Network analysis -- Beyond networks -- Geometry in data science -- Other applications of geometry in machine learning -- Topological data analysis -- Homotopy algorithms -- Working with language -- New approaches to computational solutions. | |
| 520 | |a "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"-- |c Provided by publisher. | ||
| 588 | |a Description based upon online resource; title from PDF title page (viewed September 11th, 2023). | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Geometric programming. | |
| 650 | 0 | |a Topology. | |
| 650 | 0 | |a Machine learning. | |
| 650 | 0 | |a System analysis |x Data processing. | |
| 650 | 0 | |a R (Computer program language) | |
| 650 | 6 | |a Programmation géométrique. | |
| 650 | 6 | |a Topologie. | |
| 650 | 6 | |a Apprentissage automatique. | |
| 650 | 6 | |a Analyse de systèmes |x Informatique. | |
| 650 | 6 | |a R (Langage de programmation) | |
| 650 | 7 | |a Geometric programming |2 fast | |
| 650 | 7 | |a Machine learning |2 fast | |
| 650 | 7 | |a R (Computer program language) |2 fast | |
| 650 | 7 | |a System analysis |x Data processing |2 fast | |
| 650 | 7 | |a Topology |2 fast | |
| 700 | 1 | |a Gaba, Yaé Ulrich, |e author. | |
| 776 | 0 | 8 | |i Print version: |a Farrelly, Colleen. |t Shape of data |d San Francisco, CA : No Starch Press, [2023] |z 9781718503083 |w (DLC) 2022059967 |
| 856 | 4 | 0 | |u https://learning.oreilly.com/library/view/~/9781098156886/?ar |z Texto completo (Requiere registro previo con correo institucional) |
| 938 | |a YBP Library Services |b YANK |n 305665753 | ||
| 938 | |a EBSCOhost |b EBSC |n 3456612 | ||
| 994 | |a 92 |b IZTAP | ||