Introduction to data science : data analysis and prediction algorithms with R /: data analysis and prediction algorithms with R. ([2020])

• Record Type: Book
• Further Information: Note: Rafael A. Irizarry.
• Authors: Irizarry, Rafael A
• Contents: Getting started with R and RStudio -- R Basics -- Programming basics -- The tidyverse -- Importing data -- Introduction to data visualization -- ggplot2 -- Visualizing data distributions -- Data visualization in practice -- Data visualization principles -- Robust summaries -- Introduction to statistics with R -- Probability -- Random variables -- Statistical inference -- Statistical models -- Regression -- Linear models -- Association is not causation -- Introduction to data wrangling -- Reshaping data -- Joining tables -- Web scraping -- String processing -- Parsing dates and times -- Text mining -- Introduction to machine learning -- Smoothing -- Cross validation -- The caret package -- Examples of algorithms -- Machine learning in practice -- Large datasets -- Clustering -- Introduction to productivty tools -- Organizing with Unix -- Git and GitHub -- Reproducible projects with RStudio and R markdown.
• Publisher Details: Boca Raton : CRC Press
• Publication Date: 2020
• Extent: 1 online resource (xxx, 713 pages)
• Subjects: 005.362; R (Computer program language); Information visualization; Data mining; Statistics -- Data processing; Probabilities -- Data processing; Computer algorithms; Quantitative research; R (Langage de programmation); Visualisation de l'information; Exploration de données (Informatique); Statistique -- Informatique; Probabilités -- Informatique; Algorithmes; Recherche quantitative; algorithms; MATHEMATICS -- Probability & Statistics -- General; Computer algorithms; Data mining; Information visualization; Probabilities -- Data processing; Quantitative research; R (Computer program language); Statistics -- Data processing; Electronic books
• Languages: English
• ISBNs: 9780429341830; 0429341830; 9781000707731; 1000707733; 9781000708035; 1000708039; 9781000707885; 1000707881
• Related ISBNs: 9780367357986; 9780367357993
• Notes: Note: Includes bibliographical references and index.; Note: Online resource; title from digital title page (viewed on April 06, 2020).
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.