From Data to Models and Back
Language: en
Pages: 233
Authors: Juliana Bowles
Categories: Computers
Type: BOOK - Published: 2021-03-04 - Publisher: Springer Nature

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This book constitutes the refereed proceedings of the 9th International Symposium on From Data Models and Back, DataMod 2020, held virtually, in October 2020. T
R for Data Science
Language: en
Pages: 521
Authors: Hadley Wickham
Categories: Computers
Type: BOOK - Published: 2016-12-12 - Publisher: "O'Reilly Media, Inc."

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Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R pac
Frontiers in Massive Data Analysis
Language: en
Pages: 191
Authors: National Research Council
Categories: Mathematics
Type: BOOK - Published: 2013-09-03 - Publisher: National Academies Press

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Data mining of massive data sets is transforming the way we think about crisis response, marketing, entertainment, cybersecurity and national intelligence. Coll
Developing High Quality Data Models
Language: en
Pages: 408
Authors: Matthew West
Categories: Computers
Type: BOOK - Published: 2011-02-07 - Publisher: Elsevier

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Developing High Quality Data Models provides an introduction to the key principles of data modeling. It explains the purpose of data models in both developing a
Data Analysis Using Regression and Multilevel/Hierarchical Models
Language: en
Pages: 654
Authors: Andrew Gelman
Categories: Mathematics
Type: BOOK - Published: 2007 - Publisher: Cambridge University Press

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This book, first published in 2007, is for the applied researcher performing data analysis using linear and nonlinear regression and multilevel models.