- Mastering Predictive Analytics with R(Second Edition)
- James D. Miller Rui Miguel Forte
- 142字
- 2021-07-02 20:25:12
What you need for this book
In order to work with and to run the code examples found in this book, the following should be noted:
- R is a free software environment for statistical computing and graphics. It compiles and runs on a wide variety of UNIX platforms, Windows, and MacOS. To download R, there are a variety of locations available, including https://www.rstudio.com/products/rstudio/download.
- R includes extensive accommodations for accessing documentation and searching for help. A good source of information is at http://www.r-project.org/help.html.
- The capabilities of R are extended through user-created packages. Various packages are referred to and used throughout this book and the features of and access to each will be detailed as they are introduced. For example, the wordcloud package is introduced in Chapter 11, Topic Modeling to plot a cloud of words shared across documents. This is found at https://cran.r-project.org/web/packages/wordcloud/index.html.
推薦閱讀
- Vue.js 2 and Bootstrap 4 Web Development
- Web Application Development with MEAN
- C語言程序設計同步訓練與上機指導(第三版)
- 深入淺出React和Redux
- 微服務架構深度解析:原理、實踐與進階
- 用戶體驗可視化指南
- 打開Go語言之門:入門、實戰與進階
- Software Development on the SAP HANA Platform
- Serverless工程實踐:從入門到進階
- Scratch超人漫游記:創意程序設計:STEAM創新教育指南
- PHP面試一戰到底
- Kotlin核心編程
- Learning RxJava
- Learning Adobe Muse
- HTML5+CSS3網頁布局項目化教程