Introduction to data science : data analysis and prediction algorithms with R
dc.contributor.author | Irizarry, Rafael A. | |
dc.date.issued | 2019 | |
dc.identifier.isbn | 9780429341830 | |
dc.identifier.uri | https://thuvienso.hoasen.edu.vn/handle/123456789/11207 | |
dc.description.abstract | This book introduces concepts and skills that can help you tackle real-world data analysis challenges. It covers concepts from probability, statistical inference, linear regression, and machine learning. It also helps you develop skills such as R programming, data wrangling, data visualization, predictive algorithm building, file organization with UNIX/Linux shell, version control with Git and GitHub, and reproducible document preparation. | |
dc.format | 708 p. : ill. | |
dc.language.iso | en | |
dc.publisher | CRC Press | |
dc.subject | Data science | |
dc.subject | Data mining | |
dc.subject | Computer algorithms | |
dc.subject | Quantitative research | |
dc.subject | R (Computer program language) | |
dc.subject | Information visualization | |
dc.title | Introduction to data science : data analysis and prediction algorithms with R | |
dc.type | Book |