Data science and big data analytics: discovering, analyzing, visualizing and presenting data /
Material type:
TextPublication details: Hoboken : John Wiley & Sons, c2015Description: xiii, 410 pages : illustrations ; 25 cmISBN: 9781118876138Subject(s): DATA ANALYSIS | BULK DATA | BIG DATALOC classification: QA 76.9 .D34 2015
Books
| Item type | Current library | Home library | Collection | Shelving location | Call number | Copy number | Status | Date due | Barcode |
|---|---|---|---|---|---|---|---|---|---|
|
Books
|
LRC - Annex | National University - Manila | Gen. Ed - CEAS | General Circulation | GC QA 76.9 .D34 2015 c.1 (Browse shelf (Opens below)) | c.1 | Available | NULIB000013493 | |
|
Books
|
LRC - Graduate Studies | National University - Manila | Gen. Ed - CEAS | General Circulation | GC QA 76.9 .D34 2015 c.2 (Browse shelf (Opens below)) | c.2 | Available | NULIB000013494 |
Browsing National University - Manila shelves, Shelving location: General Circulation, Collection: Gen. Ed - CEAS Close shelf browser (Hides shelf browser)
|
|
|
|
|
No cover image available |
|
||
| GC Q 325.5 .T44 2015 Machine learning : a Bayesian and optimization perspective / | GC QA 37.2 .K95 2006 Vedic mathematics / | GC QA 76.9 .D34 2015 c.1 Data science and big data analytics: discovering, analyzing, visualizing and presenting data / | GC QA 76.9 .D34 2015 c.2 Data science and big data analytics: discovering, analyzing, visualizing and presenting data / | GC QA 76.9 .D43 2014 The Microguide to process and decision modeling : build more efficient, agile and simple solutions with process and decision modeling / | GC QA 76.9 .L44 2016 Fundamentals of big data network analysis for research and industry / | GC QA 76.9.M35 .C43 2011 Discrete mathematics / |
Includes bibliographical references and index.
Chapter 1. Introduction to big data analysis -- Chapter 2. Data analytics lifecycle -- Chapter 3. Review of basic data analytic methods using R -- Chapter 4. Advanced analytical theory and methods : clustering -- Chapter 5 . Advanced analytical theory and methods : association rules -- Chapter 6. Advanced analytical theory and methods : regression -- Chapter 7. Advanced analytical theory and methods : classification -- Chapter 8. Advanced analytical theory and methods : Time series analysis -- Chapter 9. Advanced analytical theory and methods : Text analysis -- Chapter 10. Advanced analytics - technology and tools : MapReduce and hadoop -- Chapter 11. Advanced analytics - technology and tools : In-database analytics -- Chapter 12. The endgame, or putting it all together
Data Science and Big Data Analytics is about harnessing the power of data for new insights. The book covers the breadth of activities and methods and tools that Data Scientists use.
There are no comments on this title.