Phantom pattern problem: mirage of big data (Record no. 357380)

MARC details
000 -LEADER
fixed length control field 00808nam a22001937a 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20241209160820.0
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9780198864165
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.312 SMI
100 ## - MAIN ENTRY--AUTHOR NAME
Personal name Smith, Gary
100 ## - MAIN ENTRY--AUTHOR NAME
Personal name Cordes, Jay
245 ## - TITLE STATEMENT
Title Phantom pattern problem: mirage of big data
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication New York;
Name of publisher Oxford University Press;
Year of publication 2020
300 ## - PHYSICAL DESCRIPTION
Number of Pages 227p.
520 ## - SUMMARY, ETC.
Summary, etc 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.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Investement
9 (RLIN) 7967
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Finance & Economy
9 (RLIN) 7968
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Books
Holdings
Lost status Home library Current library Date acquired Cost, normal purchase price Full call number Accession Number Koha item type Public Note
  Gandhi Smriti Library Gandhi Smriti Library 2024-12-09 2890.00 006.312 SMI 177943 Books 2890.00

Powered by Koha