|
|
|
|
| LEADER |
02731nmm a2200469 u 4500 |
| 001 |
EB001911272 |
| 003 |
EBX01000000000000001074174 |
| 005 |
00000000000000.0 |
| 007 |
cr||||||||||||||||||||| |
| 008 |
210123 ||| eng |
| 020 |
|
|
|a 129221810X
|
| 020 |
|
|
|a 9781292218113
|
| 020 |
|
|
|a 1292218118
|
| 020 |
|
|
|a 1292218126
|
| 020 |
|
|
|a 9781292218106
|
| 050 |
|
4 |
|a QA76.9.D343
|
| 100 |
1 |
|
|a Stephenson, David
|
| 245 |
0 |
0 |
|a Big data demystified
|b how to use big data, data science and AI to make better business decisions and gain competitive advantage
|c David Stephenson
|
| 246 |
3 |
1 |
|a How to use big data, data science and AI to make better business decisions and gain competitive advantage
|
| 260 |
|
|
|a Harlow, United Kingdom
|b Pearson Education Limited
|c 2018
|
| 300 |
|
|
|a 1 volume
|b illustrations
|
| 505 |
0 |
|
|a Includes bibliographical references and index
|
| 505 |
0 |
|
|a Cover -- Title Page -- Copyright Page -- Contents -- About the author -- Acknowledgements -- Introduction -- Part 1 Big data demystified -- 1 The story of big data -- 2 Artificial intelligence, machine learning and big data -- 3 Why is big data useful? -- 4 Use cases for (big) data analytics -- 5 Understanding the big data ecosystem -- Part 2 Making the big data ecosystem work for your organization -- 6 How big data can help guide your strategy -- 7 Forming your strategy for big data and data science -- 8 Implementing data science -- analytics, algorithms and machine learning
|
| 505 |
0 |
|
|a 9 Choosing your technologies -- 10 Building your team -- 11 Governance and legal compliance -- 12 Launching the ship -- successful deployment in the organization -- References -- Glossary -- A -- B -- C -- D -- E -- F -- G -- H -- I -- J -- K -- L -- M -- N -- O -- P -- R -- S -- T -- U -- V -- X -- Y -- Z -- Index -- A -- B -- C -- D -- E -- F -- G -- H -- I -- J -- K -- L -- M -- N -- O -- P -- Q -- R -- S -- T -- U -- V -- W -- X -- Y -- Z -- Back Cover
|
| 653 |
|
|
|a Industrial management / Data processing / fast
|
| 653 |
|
|
|a Data mining / fast
|
| 653 |
|
|
|a Data Mining
|
| 653 |
|
|
|a Big data / fast
|
| 653 |
|
|
|a Gestion / Informatique
|
| 653 |
|
|
|a Big data / http://id.loc.gov/authorities/subjects/sh2012003227
|
| 653 |
|
|
|a Industrial management / Data processing
|
| 653 |
|
|
|a Données volumineuses
|
| 653 |
|
|
|a Data mining / http://id.loc.gov/authorities/subjects/sh97002073
|
| 653 |
|
|
|a Exploration de données (Informatique)
|
| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
|
| 989 |
|
|
|b OREILLY
|a O'Reilly
|
| 015 |
|
|
|a GBC2L1926
|
| 776 |
|
|
|z 9781292218120
|
| 856 |
4 |
0 |
|u https://learning.oreilly.com/library/view/~/9781292218120/?ar
|x Verlag
|3 Volltext
|
| 082 |
0 |
|
|a 658
|
| 082 |
0 |
|
|a 303.4833
|
| 082 |
0 |
|
|a 670
|