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. […]
Posts tagged data science
Open Source R on the Azure Ubuntu Dat...
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 […]
Outstanding Paper Award: Big Data Opp...
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 […]
A Grammar of Machine Learning: graml
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 […]
Data Science explained Simply
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