Data science in R : a case studies approach to computational reasoning and problem solving / Deborah Nolan and Duncan Temple Lang.
Material type:
TextSeries: Chapman & Hall/CRC the R seriesPublication details: Boca Raton : CRC Press, ©2015Description: xxiii, 515 p. : illustrations (some color) ; 26 cmISBN: - 9781482234817
- 000SA.055 23 N787
| Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|
| Books | ISI Library, Kolkata | 000SA.055 N787 (Browse shelf(Opens below)) | Available | 137098 |
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| 000SA.055 M623 R software : | 000SA.055 M652 OpenStat reference manual / | 000SA.055 N251 Nonlinear parameter optimization using R tools / | 000SA.055 N787 Data science in R : | 000SA.055 R215 Computational statistics with R / | 000SA.055 R236 Statistical and machine-learning data mining : techniques for better predictive modeling and analysis of big data / | 000SA.055 Sa158 Three stochastic models on discrete structures / |
Includes bibliographical references and index.
1. Predicting location via indoor positioning systems --
2. Modeling runners' times in the cherry blossom race --
3. Using statistics to identify spam --4. Processing robot and sensor log files: seeking a circular target --
5. Strategies for analyzing a 12-gigabyte data set: airline flight delays --
6. Pairs trading --
7. Simulation study of a Branching process --
8. A self-organizing dynamic system with a phase transition --
9. Simulating blackjack --
10. Baseball: exploring data in a relational database --
11. CIA Factbook mashup --
12. Exploring data science jobs with web scraping and text mining.
Data Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving illustrates the details involved in solving real computational problems encountered in data analysis. It reveals the dynamic and iterative process by which data analysts approach a problem and reason about different ways of implementing solutions.
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