Binding: Paperback
Description: 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.
Title: Data Science Analytics And Machine Learning With R
Author(s): De Freitas Souza Rafael (Economics Business Administration And Accounting College Of Ribeirao Preto University Of Sao Paulo Brazil)
Publisher: Elsevier Science Publishing Co Inc
Barcode: 9780128242711
Pages: 660 Pages, 400 Illustrations (200 In Full Color); Illustrations, Unspecified
Publication Date: 1/25/2023
Category: Machine Learning