Beginning Data Science in R

Data Analysis, Visualization, and Modelling for the Data Scientist

Thomas Mailund (Autor)

Online Resource

XXVII, 352 Seiten

2017 | 1st ed.
Apress (Hersteller)
978-1-4842-2671-1 (ISBN)

Inhalt

1. Introduction to R programming.- 2. Reproducible analysis.- 3. Data manipulation.- 4. Visualizing and exploring data.- 5. Working with large data sets.- 6. Supervised learning.- 7. Unsupervised learning.- 8. More R programming.- 9. Advanced R programming.- 10. Object oriented programming.- 11. Building an R package.- 12. Testing and checking.- 13. Version control.- 14. Profiling and optimizing.

Produkt-Details

• Erscheint lt. Verlag: 9.3.2017
• Zusatzinfo: XXVII, 352 p. 100 illus.
• Verlagsort: Berkeley
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Informatik ► Datenbanken
• Themenwelt: Informatik ► Theorie / Studium ► Compilerbau
• Schlagworte: AI • Analytics • Big Data • Cloud • Coding • Data Science • Deep learning • machine learning • programming • R • Software • Statistics
• ISBN-10: 1-4842-2671-2 / 1484226712
• ISBN-13: 978-1-4842-2671-1 / 9781484226711
• Zustand: Neuware