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Numbersense : how to use big data to your advantage /
Authored by an expert statistician; this guide provides insight into how Big Data interpretation works - and how it too often doesn't work - so you will be able to trust the mental alarm that goes off in your head when something just doesn't seem to add up. --
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
New York :
McGraw-Hill Education,
[2013]
|
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 100 | 1 | |a Fung, Kaiser. | |
| 245 | 1 | 0 | |a Numbersense : |b how to use big data to your advantage / |c Kaiser Fung. |
| 246 | 3 | |a Number sense | |
| 264 | 1 | |a New York : |b McGraw-Hill Education, |c [2013] | |
| 300 | |a 1 online resource (xi, 228 pages) : |b illustrations | ||
| 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 (pages 211-218) and index. | ||
| 505 | 0 | |a Why do law school deans send each other porn? -- Why can't I fit into those jeans any more? -- How can sellouts ruin a business? -- Will personalizing deals save Groupon? -- Why do marketers send you mixed messages? -- Are they new jobs if no one can apply? -- How much did you pay for the eggs? -- Are you a better coach or manager? | |
| 588 | 0 | |a Print version record. | |
| 520 | |a Authored by an expert statistician; this guide provides insight into how Big Data interpretation works - and how it too often doesn't work - so you will be able to trust the mental alarm that goes off in your head when something just doesn't seem to add up. -- |c Edited summary from book. | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Data mining. | |
| 650 | 0 | |a Big data. | |
| 650 | 0 | |a Statistics. | |
| 650 | 0 | |a Success. | |
| 650 | 6 | |a Exploration de données (Informatique) | |
| 650 | 6 | |a Données volumineuses. | |
| 650 | 6 | |a Succès. | |
| 650 | 7 | |a Big data. |2 fast |0 (OCoLC)fst01892965 | |
| 650 | 7 | |a Data mining. |2 fast |0 (OCoLC)fst00887946 | |
| 650 | 7 | |a Statistics. |2 fast |0 (OCoLC)fst01132103 | |
| 650 | 7 | |a Success. |2 fast |0 (OCoLC)fst01137041 | |
| 650 | 7 | |a Engineering & Applied Sciences. |2 hilcc | |
| 650 | 7 | |a Computer Science. |2 hilcc | |
| 776 | 0 | 8 | |i Print version: |z 0071799664 |w (DLC) 2013010961 |
| 856 | 4 | 0 | |u https://learning.oreilly.com/library/view/~/9780071799669/?ar |z Texto completo (Requiere registro previo con correo institucional) |
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| 938 | |a YBP Library Services |b YANK |n 12080929 | ||
| 938 | |a Internet Archive |b INAR |n numbersensehowto0000fung | ||
| 994 | |a 92 |b IZTAP | ||