소장자료
LDR | 02265cam a2200529Ii 4500 | ||
001 | 0100730450▲ | ||
003 | OCoLC▲ | ||
005 | 20230918152525▲ | ||
006 | m d ▲ | ||
007 | cr |||||||||||▲ | ||
008 | 200926s2020 enk o 001 0 eng d▲ | ||
019 | ▼a1164099440▼a1222916257▲ | ||
020 | ▼a9780192609694▲ | ||
020 | ▼a0192609696▲ | ||
020 | ▼a9780191896514▼q(electronic bk.)▲ | ||
020 | ▼a0191896519▼q(electronic bk.)▲ | ||
020 | ▼z0198864167▲ | ||
020 | ▼z9780198864165▲ | ||
035 | ▼a2628858▼b(N$T)▲ | ||
035 | ▼a(OCoLC)1197869019▼z(OCoLC)1164099440▼z(OCoLC)1222916257▲ | ||
040 | ▼aEBLCP▼beng▼cEBLCP▼dYDX▼dCUY▼dOCLCO▼dOH1▼dN$T▼dK6U▲ | ||
049 | ▼aMAIN▲ | ||
050 | 4 | ▼aQA76.9.D343▼bS65 2020▲ | |
082 | 0 | 4 | ▼a006.312▼223▲ |
100 | 1 | ▼aSmith, Gary,▼eauthor.▲ | |
245 | 1 | 4 | ▼aThe phantom pattern problem▼h[electronic resource] :▼bthe mirage of big data /▼cGary Smith and Jay Cordes.▲ |
260 | ▼aOxford ;▼aNew York, NY :▼bOxford University Press, ▼c2020.▲ | ||
300 | ▼a1 online resource▲ | ||
336 | ▼atext▼btxt▼2rdacontent▲ | ||
337 | ▼acomputer▼bc▼2rdamedia▲ | ||
338 | ▼aonline resource▼bcr▼2rdacarrier▲ | ||
500 | ▼aDescription based upon print version of record.▲ | ||
520 | ▼aPatterns in data are often used as evidence, but how can you tell if that evidence is worth believing? The Phantom Pattern Problem helps readers avoid being duped by data, tricked into worthless investing strategies, or scared out of getting vaccinations. Becoming a sceptical consumer of data is important in this age of Big Data.▲ | ||
590 | ▼aOCLC control number change▲ | ||
650 | 0 | ▼aData mining.▲ | |
650 | 0 | ▼aBig data.▲ | |
650 | 0 | ▼aQuantitative research.▲ | |
655 | 0 | ▼aElectronic books.▲ | |
655 | 4 | ▼aElectronic books.▲ | |
700 | 1 | ▼aCordes, Jay,▼eauthor.▲ | |
776 | 0 | 8 | ▼iPrint version:▼aSmith, Gary▼tThe Phantom Pattern Problem : The Mirage of Big Data▼dOxford : Oxford University Press USA - OSO,c2020▼z9780198864165▼w(OCoLC)1141231494▲ |
856 | 4 | 0 | ▼3EBSCOhost▼uhttps://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=2628858▲ |
The phantom pattern problem[electronic resource] : the mirage of big data
자료유형
국외eBook
서명/책임사항
The phantom pattern problem [electronic resource] : the mirage of big data / Gary Smith and Jay Cordes.
발행사항
Oxford ; New York, NY : Oxford University Press , 2020.
형태사항
1 online resource
일반주기
Description based upon print version of record.
요약주기
Patterns in data are often used as evidence, but how can you tell if that evidence is worth believing? The Phantom Pattern Problem helps readers avoid being duped by data, tricked into worthless investing strategies, or scared out of getting vaccinations. Becoming a sceptical consumer of data is important in this age of Big Data.
기타형태저록
ISBN
9780192609694 0192609696 9780191896514 0191896519
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