Mailund, Thomas
Beginning Data Science in R
Table of contents
1. Introduction to R Programming
Thomas Mailund
2. Reproducible Analysis
Thomas Mailund
3. Data Manipulation
Thomas Mailund
4. Visualizing Data
Thomas Mailund
5. Working with Large Datasets
Thomas Mailund
6. Supervised Learning
Thomas Mailund
7. Unsupervised Learning
Thomas Mailund
8. More R Programming
Thomas Mailund
9. Advanced R Programming
Thomas Mailund
10. Object Oriented Programming
Thomas Mailund
11. Building an R Package
Thomas Mailund
12. Testing and Package Checking
Thomas Mailund
13. Version Control
Thomas Mailund
14. Profiling and Optimizing
Thomas Mailund
Keywords: Computer Science, Data Mining and Knowledge Discovery, Big Data, Programming Languages, Compilers, Interpreters, Data-driven Science, Modeling and Theory Building, Programming Techniques
- Author(s)
- Mailund, Thomas
- Publisher
- Springer
- Publication year
- 2017
- Language
- en
- Edition
- 1
- Page amount
- 27 pages
- Category
- Information Technology, Telecommunications
- Format
- Ebook
- eISBN (PDF)
- 9781484226711
- Printed ISBN
- 978-1-4842-2670-4
