Deborah Nolan

eBook, ePUB

Data Science in R (eBook, ePUB)

A Case Studies Approach to Computational Reasoning and Problem Solving

Beschreibung

Effectively Access, Transform, Manipulate, Visualize, and Reason about Data and ComputationData Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving illustrates the details involved in solving real computational problems encountered in data analysis. It reveals the dynamic and iterative process by which data analysts

Technische Details

• Geräte: eReader
• mit Kopierschutz
• Größe: 5.64MB

Barrierefreiheit

• Text-to-Speech
• E-Mail des Verlags für Barrierefreiheitsfragen: [e-mail]
• Mathematische Inhalte in MathML für assistive Technologien
• Kurze Alternativtexte für nicht-textuelle Inhalte vorhanden
• Text und Medien in logischer Lesereihenfolge angeordnet

Autor

Deborah Nolan holds the Zaffaroni Family Chair in Undergraduate Education at the University of California, Berkeley. She is a fellow of the American Statistical Association and the Institute of Mathematical Statistics. Her research has involved the empirical process, high-dimensional modeling, and, more recently, technology in education and reproducible research.

Duncan Temple Lang is the director of the Data Science Initiative at the University of California, Davis. He has been involved in the development of R and S for 20 years and has developed over 100 R packages. His research focuses on statistical computing, data technologies, meta-computing, reproducibility, and visualization.

Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 539
• Erscheinungstermin: 21. April 2015
• Englisch
• ISBN-13: 9781498759878
• Artikelnr.: 44366693