• Medientyp: E-Book
  • Titel: The big R-book : from data science to learning machines and big data
  • Beteiligte: De Brouwer, Philippe J.S. [VerfasserIn]
  • Erschienen: Hoboken, NJ: Wiley, 2021
  • Umfang: 1 Online-ressource (XXXIV, 892 Seiten)
  • Sprache: Englisch
  • DOI: 10.1002/9781119632757
  • ISBN: 9781119632757; 9781119632771; 9781119632764
  • Identifikator:
  • RVK-Notation: ST 250 : Einzelne Programmiersprachen (A-Z)
  • Schlagwörter: R
  • Entstehung:
  • Anmerkungen:
  • Beschreibung: "This book provides an overall introduction to R with a focus on tools and methods commonly used in Data Science, with an emphasis on practice and business use.The intention is to provide a practical guide for non-experts with a focus on business users. The author covers a wide range of topics in a single book: databases, statistical machine learning, data wrangling, data visualization, and reporting such results. The book includes seven parts. Part 1 is an Introduction, Part 2 provides an overview of R and elements of statistics. Part 3 revolves around data, while Part 4 focuses on data wrangling. Next, Part 5 focuses on exploring data. Modelling is covered in Part 6, while Part 7 covers reports. Finally, Part 7 contains appendices. The topics covered are all important for someone with a science/math background that is looking to quickly learn several practical technologies to enter or transition to the growing field of data science"--