The Essentials of Data Science: Knowledge Discovery Using R (Chapman & Hall/CRC The R Series)
| Author | : | |
| Rating | : | 4.96 (567 Votes) |
| Asin | : | 1138088633 |
| Format Type | : | paperback |
| Number of Pages | : | 342 Pages |
| Publish Date | : | 2015-02-20 |
| Language | : | English |
DESCRIPTION:
His popular text book on Data Mining with Rattle and R was published by Springer in 2011. He is a Senior International Expert and Visiting Professor of the Chinese Academy of Sciences at the Shenzhen Institutes of Advanced Technologies. He has developed software and hardware environments for data mining, and implemented web services for the delivery of data mining. He has l
Real world case studies then provide insight for the data scientist to swiftly adapt the templates to new tasks and datasets. It systematically drives an accessible journey through data analysis and machine learning to discover and share knowledge from data.Building on over thirty years’ experience in teaching and practising data science, the author encourages a programming-by-example approach to ensure students and practitioners attune to the practise of data science while building their data skills. Proven frameworks are provided as reusable templates. From analysing and visualising data, the framework moves on to tried and tested machine learning techniques for predictive modelling and knowledge discovery. These programs are developed and explained step by step. The book begins by introducing data science. The Essentials of Data Science: Knowledge Discovery Using R presents the concepts of data science through a hands-on approach using free and open source software. It then reviews R’s capabilities for analysing data by writing computer programs. Literate programming and a consistent style are a focus throughout the book.
About the AuthorDr Graham Williams is lead Data Scientist at the Australian Taxation Office, and was previously Principal Computer Scientist for Data Mining with CSIRO Australia. He is also Adjunct Professor, Data Mining, Fraud Prevention, Security, University of Canberra, and Australian National University.Graham has been involved in data mining since the 1980s as a researcher and practitioner. His OnePageR website is an increasingly popular resource for data miners using R.. He is a Senior International Expert and Visiting Professor of the Chinese Academy of Sciences at the Shenzhen Institutes of Advanced Technologies. His popular text book on Data Mining with Rattle and R was published by Springer in 2011. He has lead projects with client