My new book is now available from Amazon. From the cover: The Essentials of Data Science: Knowledge Discovery Using R presents the concepts of data science through a hands-on approach using free and open source software. It systematically drives an accessible journey through data analysis and machine learning to discover and share knowledge from data. […]
Data scientists rely on the freedom to innovate that is afforded by open source software. We often deploy an open source software stack based on Ubuntu GNU/Linux and the R Statistical Software. This provides a powerful environment for the management, wrangling, analysis, modeling, and presentation of data within a tool that supports machine learning and […]
The fully open source software stack of the Ubuntu Data Science Virtual Machine (DSVM) hosted on Azure is a great place to support an R workshop or laboratory session or R training. I record here the simple steps to set up a Linux Data Science Virtual Machine (in the main so I can remember how […]
I had the privilege to join a panel in 2014 that explored big data opportunities and challenges. Together, coordinated by Professor Zhi-Hua Zhou, we captured our thoughts into a paper published in the IEEE Computational Intelligence Magazine (Volume 9, Number 4). It is an honour to learn that we have received a 2017 IEEE Outstanding […]
Data Scientists have access to a grammar for preparing data (Hadley Wickham’s tidyr package in R), a grammar for data wrangling (dplyr), and a grammar for graphics (ggplot2). At an R event hosted by CSIRO in Canberra in 2011 Hadley noted that we are missing a grammar for machine learning. At the time I doodled […]
A 5-video series called Data Science for Beginners has been released by Microsoft. It introduces practical data science concepts to a non-technical audience… making data science accessible – keeping the language clear and simple as an entry point to understanding data science. http://aka.ms/data-science-for-beginners-1 http://aka.ms/data-science-for-beginners-2 http://aka.ms/data-science-for-beginners-3 http://aka.ms/data-science-for-beginners-4 http://aka.ms/data-science-for-beginners-5 Graham @ Microsoft