Cargando…
On being a data skeptic /
""Data is here, it's growing, and it's powerful."" Author Cathy O'Neil argues that the right approach to data is skeptical, not cynical--it understands that, while powerful, data science tools often fail. Data is nuanced, and ""a really excellent skeptic...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Sebastopol, CA :
O'Reilly Media,
©2013.
|
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
| LEADER | 00000cam a2200000Ia 4500 | ||
|---|---|---|---|
| 001 | OR_ocn868236295 | ||
| 003 | OCoLC | ||
| 005 | 20231017213018.0 | ||
| 006 | m o d | ||
| 007 | cr unu|||||||| | ||
| 008 | 140116s2013 caua o 000 0 eng d | ||
| 040 | |a UMI |b eng |e pn |c UMI |d COO |d DEBBG |d CUS |d DEBSZ |d OCLCQ |d OCLCF |d OCLCQ |d EBLCP |d FEM |d OCLCQ |d CEF |d WYU |d UAB |d AU@ |d OCLCQ |d RDF |d OCLCQ |d LVT |d OCLCO |d OCLCQ |d OCLCO | ||
| 019 | |a 968106505 |a 968991795 |a 1302282519 | ||
| 020 | |a 9781491947227 | ||
| 020 | |a 1491947225 | ||
| 020 | |a 9781491947241 | ||
| 020 | |a 1491947241 | ||
| 029 | 1 | |a DEBBG |b BV041778288 | |
| 029 | 1 | |a DEBSZ |b 404327745 | |
| 029 | 1 | |a GBVCP |b 882722700 | |
| 029 | 1 | |a AU@ |b 000067104456 | |
| 035 | |a (OCoLC)868236295 |z (OCoLC)968106505 |z (OCoLC)968991795 |z (OCoLC)1302282519 | ||
| 037 | |a CL0500000358 |b Safari Books Online | ||
| 050 | 4 | |a R853.S7 |b O56 2013 | |
| 049 | |a UAMI | ||
| 100 | 1 | |a O'Neil, Cathy. | |
| 245 | 1 | 0 | |a On being a data skeptic / |c Cathy O'Neil. |
| 260 | |a Sebastopol, CA : |b O'Reilly Media, |c ©2013. | ||
| 300 | |a 1 online resource (1 volume) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file |2 rda | ||
| 588 | 0 | |a Online resource; title from title page (Safari, viewed Dec. 19, 2013). | |
| 520 | |a ""Data is here, it's growing, and it's powerful."" Author Cathy O'Neil argues that the right approach to data is skeptical, not cynical--it understands that, while powerful, data science tools often fail. Data is nuanced, and ""a really excellent skeptic puts the term 'science' into 'data science.'"" The big data revolution shouldn't be dismissed as hype, but current data science tools and models shouldn't be hailed as the end-all-be-all, either. | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Data integrity. | |
| 650 | 6 | |a Intégrité des données. | |
| 650 | 1 | 7 | |a Data integrity. |2 bisacsh |
| 650 | 7 | |a Data integrity |2 fast | |
| 650 | 7 | |a Commerce. |2 hilcc | |
| 650 | 7 | |a Business & Economics. |2 hilcc | |
| 650 | 7 | |a Marketing & Sales. |2 hilcc | |
| 856 | 4 | 0 | |u https://learning.oreilly.com/library/view/~/9781491947227/?ar |z Texto completo (Requiere registro previo con correo institucional) |
| 938 | |a ProQuest Ebook Central |b EBLB |n EBL1492821 | ||
| 938 | |a ProQuest Ebook Central |b EBLB |n EBL1492820 | ||
| 994 | |a 92 |b IZTAP | ||