Numbersense : how to use big data to your advantage / by Kaiser Fung.
Material type:
TextPublisher: New York : McGraw-Hill, [2013]Description: xi, 228 p. : ill. ; 22 cmContent type: text Media type: unmediated Carrier type: volumeISBN: 9780071799669 Subject(s): Data mining | Big data | Statistics | SuccessDDC classification: 006.312 FUN 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?
| Item type | Current library | Call number | Status | Date due | Barcode |
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BUKU
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Pusat Sumber Pendidikan IABI | 006.312 FUN 2013 (Browse shelf (Opens below)) | Available | 0000012129 | |
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BUKU
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Pusat Sumber Pendidikan IABI | 006.312 FUN 2013 (Browse shelf (Opens below)) | Available | 0000012130 | |
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BUKU
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Pusat Sumber Pendidikan IABI | 006.312 FUN 2013 (Browse shelf (Opens below)) | Available | 0000012131 | |
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BUKU
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Pusat Sumber Pendidikan IABI | 006.312 FUN 2013 (Browse shelf (Opens below)) | Available | 0000012132 | |
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BUKU
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Pusat Sumber Pendidikan IABI | 006.312 FUN 2013 (Browse shelf (Opens below)) | Available | 0000012133 |
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| 006.31 TER 2018 The deep learning revolution/ | 006.312 FUN 2013 Numbersense : how to use big data to your advantage / | 006.312 FUN 2013 Numbersense : how to use big data to your advantage / | 006.312 FUN 2013 Numbersense : how to use big data to your advantage / | 006.312 FUN 2013 Numbersense : how to use big data to your advantage / | 006.312 FUN 2013 Numbersense : how to use big data to your advantage / | 006.312 LAR 2014 Discovering knowledge in data : an introduction to data mining / |
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?
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