R Programming for Data Science
Roger Peng
- 出版商: Lulu.com
- 出版日期: 2016-04-19
- 售價: $1,340
- 貴賓價: 9.5 折 $1,273
- 語言: 英文
- 頁數: 194
- 裝訂: Paperback
- ISBN: 1365056821
- ISBN-13: 9781365056826
-
相關分類:
R 語言、Data Science
海外代購書籍(需單獨結帳)
買這商品的人也買了...
-
$299Python Power!: The Comprehensive Guide
-
$840Interactive Data Visualization for the Web (Paperback)
-
$1,100$1,045 -
$360$284 -
$1,225Python Data Science Handbook: Essential Tools for Working with Data (Paperback)
-
$505Xcode 實戰:Apple 平臺開發實用技術、技巧及最佳流程
-
$2,180$2,071 -
$1,155Data Visualization with Python and JavaScript: Scrape, Clean, Explore & Transform Your Data
-
$1,850$1,758 -
$2,980$2,831 -
$1,107The Hitchhiker's Guide to Python: Best Practices for Development (Paperback)
-
$840$798 -
$1,962Introduction to Machine Learning with Python: A Guide for Data Scientists (Paperback)
-
$590$502 -
$990$941 -
$2,020$1,919 -
$490$417 -
$380$323 -
$2,180$2,071 -
$360$281 -
$948Swift Programming: The Big Nerd Ranch Guide, 2/e (Paperback)
-
$390$332 -
$580$458 -
$1,870$1,777 -
$1,160$1,102
相關主題
商品描述
Data science has taken the world by storm. Every field of study and area of business has been affected as people increasingly realize the value of the incredible quantities of data being generated. But to extract value from those data, one needs to be trained in the proper data science skills. The R programming language has become the de facto programming language for data science. Its flexibility, power, sophistication, and expressiveness have made it an invaluable tool for data scientists around the world. This book is about the fundamentals of R programming. You will get started with the basics of the language, learn how to manipulate datasets, how to write functions, and how to debug and optimize code. With the fundamentals provided in this book, you will have a solid foundation on which to build your data science toolbox.
商品描述(中文翻譯)
數據科學已經風靡全球。人們越來越意識到大量數據的價值,因此各個學科和商業領域都受到了影響。但要從這些數據中提取價值,就需要接受適當的數據科學技能培訓。R程式語言已成為數據科學的事實上標準程式語言。其靈活性、強大性、複雜性和表達能力使其成為全球數據科學家的寶貴工具。本書介紹了R程式語言的基礎知識。您將從語言的基礎知識入門,學習如何操作數據集,如何編寫函數,以及如何調試和優化代碼。通過本書提供的基礎知識,您將擁有一個堅實的基礎,可以構建您的數據科學工具箱。