Data science, analytics and machine learning with R / Luiz Paulo Fávero, Patrícia Belfiore, Rafael de Freitas Souza.
| Author/creator | Fávero, Luiz Paulo |
| Other author | Belfiore, Patrícia Prado. |
| Other author | De Freitas Souza, Rafael. |
| Format | Electronic |
| Edition | Fisrt edition. |
| Publication Info | London : Academic Press, an imprint of Elsevier, [2023] |
| Description | xii, 648 pages : illustrations (black and white, and colour) ; 28 cm |
| Supplemental Content | Full text available from Elsevier ScienceDirect eBook - Mathematics and computing 2023 |
| Subjects |
| Abstract | Data Science, Analytics and Machine Learning with R explains the principles of data mining and machine learning techniques and accentuates the importance of applied and multivariate modeling. The book emphasizes the fundamentals of each technique, with step-by-step codes and real-world examples with data from areas such as medicine and health, biology, engineering, technology and related sciences. Examples use the most recent R language syntax, with recognized robust, widespread and current packages. Code scripts are exhaustively commented, making it clear to readers what happens in each command. For data collection, readers are instructed how to build their own robots from the very beginning. In addition, an entire chapter focuses on the concept of spatial analysis, allowing readers to build their own maps through geo-referenced data (such as in epidemiologic research) and some basic statistical techniques. Other chapters cover ensemble and uplift modeling and GLMM (Generalized Linear Mixed Models) estimations, both linear and nonlinear. -- Provided by publisher. |
| Bibliography note | Includes bibliographic references (pages 639-640) and index. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Genre/form | Electronic books. |
| LCCN | 2023279268 |
| ISBN | 012824271X |
| ISBN | 9780128242711 (pbk) |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | Access Content Online | ✔ Available |