Data mining with R : learning with case studies Luís Torgo
Material type: TextSeries: Publication details: Boca Raton : Chapman & Hall/CRC, c2017.Edition: 2nd edDescription: xv, 289 p. : ill. ; 25 cmISBN:- 9781482234893
- 006.312 TO DA
Item type | Current library | Call number | Status | Date due | Barcode | |
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REGULAR | University of Wollongong in Dubai Main Collection | 006.312 TO DA (Browse shelf(Opens below)) | Available | T0055824 | ||
ON ORDER | University of Wollongong in Dubai On Order | 006.312 TO DA (Browse shelf(Opens below)) | Ordered | T0052131 |
Browsing University of Wollongong in Dubai shelves, Shelving location: On Order Close shelf browser (Hides shelf browser)
006.31 FA CO A concise introduction to machine learning | 006.31 HU TH Theoretic foundation of predictive data analytics | 006.312 CU GO Google Analytics / | 006.312 TO DA Data mining with R : | 006.693 ZH HI High-speed 3D imaging with digital fringe projection techniques / | 006.696 MU AU Autodesk Maya 2019 : | 006.7 CO MU Multimedia foundations / |
Includes bibliographical references (p. 269-277) and indexes.
If you want to learn how to analyze your data with R, this is your book. A broad range of real-world case studies highlights the breadth and depth of the R software. This expanded second edition delves deeper into topical explanations and updates and expands all case studies. Assuming no prior knowledge of R or data mining/statistical techniques, the book covers a diverse set of problems that pose different challenges in terms of size, type of data, goals of analysis, and analytical tools.
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