TY  - BOOK
AU  - Irizarry,Rafael A.
TI  - Introduction to data science: data analysis and prediction algorithms with R 
SN  - 9780367357986
PY  - 2019///]
CY  - Boca Raton
PB  - CRC Press
KW  - R (Computer program language)
KW  - Information visualization
KW  - Data mining
KW  - Statistics
KW  - Data processing
KW  - Probabilities
KW  - Computer algorithms
KW  - Quantitative research
N1  - Installing R and RStudio -- 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 -- Accessing the terminal and installing Git -- Organizing with Unix -- Git and GitHub -- Reproducible projects with RStudio and R markdown
N2  - 'The book begins by going over the basics of R and the tidyverse. You learn R throughout the book, but in the first part we go over the building blocks needed to keep learning during the rest of the book'--
ER  -