What you need for this book
The examples in this book were tested with R version 4.2.2 on Microsoft Windows, Mac OS X, and Linux, although they are likely to work with any recent version of R. R can be downloaded at no cost at https://cran.r-project.org/.
The RStudio interface, which is described in more detail in Chapter 1, Introducing Machine Learning, is a highly recommended add-on for R that greatly enhances the user experience. The RStudio Open Source Edition is available free of charge from Posit (https://www.posit.co/) alongside a paid RStudio Pro Edition that offers priority support and additional features for commercial organizations.
Download the example code files
The code bundle for the book is also hosted on GitHub at https://github.com/PacktPublishing/Machine-Learning-with-R-Fourth-Edition. We also have other code bundles from our rich catalog of books and videos available at https://github.com/PacktPublishing/. Check them out!
Download the color images
We also provide a PDF file that has color images of the screenshots/diagrams used in this book. You can download it here: https://packt.link/TZ7os.
Conventions used
Code in text: function names, filenames, file extensions, and R package names are shown as follows: “The knn() function in the class package provides a standard, classic implementation of the k-NN algorithm.”
R user input and output is written as follows:
> reg(y = launch$distress_ct, x = launch[2:4])
estimate
Intercept 3.527093383
temperature -0.051385940
field_check_pressure 0.001757009
flight_num 0.014292843
New terms and important words are shown in bold. Words that you see on the screen, for example, in menus or dialog boxes, appear in the text like this: “In RStudio, a new file can be created using the File menu, selecting New File, and choosing the R Notebook option.”
References to additional resources or background information appear like this.
Helpful tips and important caveats appear like this.
