Data science, analytics and machine learning with R / (Record no. 749901)

MARC details
000 -LEADER
fixed length control field 01771cam a22002177i 4500
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 012824271X
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9780128242711
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 658.05631
Edition number 23
100 1# - MAIN ENTRY--AUTHOR NAME
Personal name Fávero, Luiz Paulo
245 10 - TITLE STATEMENT
Title Data science, analytics and machine learning with R /
Statement of responsibility, etc Luiz Paulo Fávero, Patrícia Belfiore [and] Rafael de Freitas Souza.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication London :
Name of publisher Academic Press,
Year of publication c.2023
300 ## - PHYSICAL DESCRIPTION
Number of Pages xii, 648p. ;
Other physical details ill. :
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographic references (p. 639-640) and index.
520 ## - SUMMARY, ETC.
Summary, etc 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. --
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Business
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Machine learning.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term R (Computer program language)
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Belfiore, Patrícia Prado
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name De Freitas Souza, Rafael
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Reference
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home Library Current Location Date acquired Full call number Accession Number Price effective from Koha item type
    Dewey Decimal Classification     Dept. of Computer Science Dept. of Computer Science 21/06/2025 658.05631 FAV/D DCS5216 21/06/2025 Reference