The Essentials of Data Science: Knowledge Discovery Using R (ePub)
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This book presents data science material useful to data scientists. As a practitioner, the author brings a practical view, with a hands-on presentation useful to other practitioners. He concentrates on the current generation of R packages, including Hadley Wickam's suite of packages, such as tidyr, dplyr, lubridate, stringr, and ggplot2.
Graham J. Williams is Director of Data Science with Microsoft and Honorary Associate Professor with the Australian National University. He is also Adjunct Professor with the University of Canberra. He was previously Senior Director of Analytics with the Australian Taxation Office, Lead Data Scientist with the Australian Government's Centre of Excellence in Data Analytics, and International Visiting Professor of the Chinese Academy of Sciences.
Over three decades , Graham has been an active machine learning researcher and author of many publications and software including Rattle. As a practitioner of data science he has deployed solutions in areas including finance, banking, insurance, health, education and government. He is also chair and steering committee member of international conferences in knowledge discovery, artificial intelligence, machine learning, and data mining.
- Autor: Graham J. Williams
- 2017, 1. Auflage, 344 Seiten, Englisch
- Verlag: Taylor & Francis
- ISBN-10: 1351647490
- ISBN-13: 9781351647496
- Erscheinungsdatum: 28.07.2017
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: ePub
- Größe: 23 MB
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