000 | 02746cam a2200373Ki 4500 | ||
---|---|---|---|
016 | 7 |
_a016976429 _2Uk |
|
016 | 7 |
_a016973753 _2Uk |
|
020 |
_a9781118876053 _q(electronic bk.) |
||
020 |
_a1118876059 _q(electronic bk.) |
||
020 |
_a1118876229 _q(electronic bk.) |
||
020 |
_a9781118876220 _q(electronic bk.) |
||
020 | _a9781119183686 | ||
020 | _a1119183685 | ||
020 | _z9781118876138 | ||
020 | _z111887613X | ||
024 | 7 |
_a10.1002/9781119183686 _2doi |
|
037 |
_aB72C14C8-9461-49F0-AA52-EC8A9FE6E2A7 _bOverDrive, Inc. _nhttp://www.overdrive.com |
||
040 | _cCUS | ||
072 | 7 |
_aCOM _x000000 _2bisacsh |
|
072 | 7 |
_aCOM _x021030 _2bisacsh |
|
245 | 0 | 0 |
_aData science and big data analytics : _bdiscovering, analyzing, visualizing and presenting data / _cedited by EMC Education Services. |
260 | 1 |
_aIndianpolis, IN : _bJohn Wiley & Sons, _c2015. |
|
300 | _a1 online resource | ||
520 |
_aThis is a book about harnessing the power of data for new insights and covers the breadth of activities and methods and tools that data scientists use. The content focuses on concepts, principles and practical applications that are applicable to any industry and technology environment, and the learning is supported and explained with examples that you can replicate using open-source software. It will help you become a contributor on a data science team; deploy a structured lifecycle approach to data analytics problems; apply appropriate analytic techniques and tools to analyzing big data; learn how to tell a compelling story with data to drive business action; prepare for EMC Proven Professional data science certification. -- _cEdited summary from book. |
||
505 | 0 | _a1. Introduction to big data analytics -- 2. Data analytics lifecycle -- 3. Review of basic data analytic methods using R -- 4. Advanced analytical theory and methods: clustering -- 5. Advanced analytical theory and methods: association rules -- 6. Advanced analytical theory and methods: regression -- 7. Advanced analytical theory and methods: classification -- 8. Advanced analytical theory and methods: time series analysis -- 9. Advanced analytical theory and methods: text analysis -- 10. Advanced analytics, technology and tools: MapReduce and Hadoop -- 11. Advanced analytics, technology and tools: in-database analytics -- 12. The endgame, or putting it all together. | |
650 | 0 | _aData mining. | |
650 | 0 | _aBig data. | |
650 | 7 |
_aCOMPUTERS _xGeneral. _2bisacsh |
|
650 | 7 |
_aCOMPUTERS _xDatabase Management _xData Mining. _2bisacsh |
|
650 | 7 |
_aBig data. _2fast _0(OCoLC)fst01892965 |
|
650 | 7 |
_aData mining. _2fast _0(OCoLC)fst00887946 |
|
710 | 2 | _aEMC Education Services. | |
856 | 4 | 0 |
_uhttps://doi.org/10.1002/9781119183686 _zWiley Online Library |
942 | _cEBK | ||
999 |
_c208771 _d208771 |