00000nam a2200000 4500 UP-8027390931312024507 Buklod 20250710094036.0 m |o j | cr |nu|||auu|a 250710s2023 mau o j eng d 978-0-12-824271-1 DMLR eng rda eng DMLUC QA 76.9 D343 F38 2023eb Fávero, Luiz Paulo author. Data science, analytics and machine learning with R Luiz Paulo Fávero, Patrícia Belfiore and Rafael de Freitas Souza. Cambridge, Massachusetts Academic Press 2023. 1 online resource. text rdacontent computer rdamedia online resource rdacarrier Includes bibliographical references and index. "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. R (Computer program language). Machine learning. Multivariate analysis. Data mining. Geospatial data Analysis. Belfiore, Patrícia author. Souza, Rafael de Freitas author. Available for UP System via Science Direct https://doi.org/10.1016/C2020-0-01649-X FO UPD DMLR QA 76.9 D343 F38 2023eb Electronic Resource