Fortell venner om denne varen:
Data Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving - Chapman & Hall / CRC The R Series Deborah Nolan 1. utgave
Bestillingsvarer
Julegaver kan byttes frem til 31. januar
Data Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving - Chapman & Hall / CRC The R Series
Deborah Nolan
Effectively Access, Transform, Manipulate, Visualize, and Reason about Data and Computation
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.
The book?s collection of projects, comprehensive sample solutions, and follow-up exercises encompass practical topics pertaining to data processing, including:
Non-standard, complex data formats, such as robot logs and email messages Text processing and regular expressions Newer technologies, such as Web scraping, Web services, Keyhole Markup Language (KML), and Google Earth Statistical methods, such as classification trees, k-nearest neighbors, and naïve Bayes Visualization and exploratory data analysis Relational databases and Structured Query Language (SQL) Simulation Algorithm implementation Large data and efficiencySuitable for self-study or as supplementary reading in a statistical computing course, the book enables instructors to incorporate interesting problems into their courses so that students gain valuable experience and data science skills. Students learn how to acquire and work with unstructured or semistructured data as well as how to narrow down and carefully frame the questions of interest about the data.
Blending computational details with statistical and data analysis concepts, this book provides readers with an understanding of how professional data scientists think about daily computational tasks. It will improve readers? computational reasoning of real-world data analyses.
539 pages, 79 black & white illustrations
| Media | Bøker Pocketbok (Bok med mykt omslag og limt rygg) |
| Utgitt | 21. april 2015 |
| ISBN13 | 9781482234817 |
| Utgivere | Taylor & Francis Inc |
| Antall sider | 540 |
| Mål | 254 × 181 × 31 mm · 1,39 kg |
| Språk | Engelsk |
![Cover for Deborah Nolan · Stat Labs: Mathematical Statistics Through Applications - Springer Texts in Statistics (Pocketbok) [1st ed. 2000. Corr. 2nd printing 2001 Edition] (2000)](https://imusic.b-cdn.net/images/item/original/747/9780387989747.jpg?deborah-nolan-2000-stat-labs-mathematical-statistics-through-applications-springer-texts-in-statistics-pocketbok&class=scaled&v=1410150694)
