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Building Data Science Teams.
As data science evolves to become a business necessity, the importance of assembling a strong and innovative data teams grows. In this in-depth report, data scientist DJ Patil explains the skills, perspectives, tools and processes that position data science teams for success. Topics include: What it...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
O'Reilly Media,
2011.
|
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 100 | 1 | |a Patil, DJ. | |
| 245 | 1 | 0 | |a Building Data Science Teams. |
| 260 | |b O'Reilly Media, |c 2011. | ||
| 300 | |a 1 online resource (26 pages) | ||
| 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 Print version record. | |
| 505 | 0 | |a Building Data Science Teams; 1. Building Data Science Teams; Being Data Driven; The Roles of a Data Scientist; Decision sciences and business intelligence; Product and marketing analytics; Fraud, abuse, risk and security; Data services and operations; Data engineering and infrastructure; Organizational and reporting alignment; What Makes a Data Scientist?; Hiring and talent; Would we be willing to do a startup with you?; Can you "knock the socks off" of the company in 90 days?; In four to six years, will you be doing something amazing?; Building the LinkedIn Data Science Team; Reinvention. | |
| 500 | |a About the Author. | ||
| 520 | |a As data science evolves to become a business necessity, the importance of assembling a strong and innovative data teams grows. In this in-depth report, data scientist DJ Patil explains the skills, perspectives, tools and processes that position data science teams for success. Topics include: What it means to be ""data driven."" The unique roles of data scientists. The four essential qualities of data scientists. Patil's first-hand experience building the LinkedIn data science team. | ||
| 546 | |a English. | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 4 | |a Cluster analysis. | |
| 650 | 4 | |a Data mining. | |
| 650 | 4 | |a Database management. | |
| 650 | 4 | |a Mathematical statistics. | |
| 650 | 4 | |a Multivariate analysis. | |
| 650 | 4 | |a Numerical analysis |x Data processing. | |
| 650 | 4 | |a Research, Industrial. | |
| 650 | 4 | |a Science |x Data processing. | |
| 650 | 1 | 7 | |a Data structures (Computer science) |2 bisacsh |
| 776 | 0 | 8 | |i Print version: |a Patil, DJ. |t Building Data Science Teams. |d : O'Reilly Media, ©2011 |
| 856 | 4 | 0 | |u https://learning.oreilly.com/library/view/~/BLDNGDST0001/?ar |z Texto completo (Requiere registro previo con correo institucional) |
| 938 | |a ProQuest Ebook Central |b EBLB |n EBL774012 | ||
| 994 | |a 92 |b IZTAP | ||