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Numbersense : how to use big data to your advantage / by Kaiser Fung.

By: Material type: TextTextLanguage: Eng Publisher: New York : McGraw-Hill, [2013]Description: 228 p. 22 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9780071799669 (alk. paper)
  • 0071799664 (alk. paper)
Subject(s): DDC classification:
  • 006.3/12 23
LOC classification:
  • QA76.9.D343 F86 2013
Contents:
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?
Summary: How does the college ranking system really work? Can an obesity measure solve America's biggest healthcare crisis? Should you trust current unemployment data issued by the government? How do you improve your fantasy sports team? Should you worry about businesses that track your data? This book deals with these questions.
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Holdings
Item type Current library Home library Collection Shelving location Call number Vol info Copy number Status Barcode
Libro Libro Biblioteca Juan Bosch Biblioteca Juan Bosch Humanidades Humanidades (4to. Piso) QA76.9.D343 F86 2013 (Browse shelf(Opens below)) 4 1 Available 00000110512
Browsing Biblioteca Juan Bosch shelves, Shelving location: Humanidades (4to. Piso), Collection: Humanidades Close shelf browser (Hides shelf browser)
QA 76.9 D313b 2019 Blockchain and the law : the rule of code / QA76.9.D32 O45 1995 The Online 100 / QA76.9.D343 A3385 2013 Uncharted : big data as a lens on human culture / QA76.9.D343 F86 2013 Numbersense : how to use big data to your advantage / QA76.9.D343 M468 2013 Big data : La revolución de los datos masivos / QA 76.9 D362b 2015 Le big data / QA 76.9 D362b 2018 Le big data /

Includes bibliographical references and index.

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?

How does the college ranking system really work? Can an obesity measure solve America's biggest healthcare crisis? Should you trust current unemployment data issued by the government? How do you improve your fantasy sports team? Should you worry about businesses that track your data? This book deals with these questions.

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