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Posts tagged data science

The Essentials of Data Science

8 August 2017 Written by Graham Williams
The Essentials of Data Science

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. […]

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Open Source R on the Azure Ubuntu Dat...

7 August 2017 Written by Graham Williams
Open Source R on the Azure Ubuntu Data Science Virtual Machine

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 […]

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Running an R Workshop on Azure with t...

28 May 2017 Written by Graham Williams

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 […]

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Outstanding Paper Award: Big Data Opp...

13 November 2016 Written by Graham Williams

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 […]

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A Grammar of Machine Learning: graml

30 July 2016 Written by Graham Williams
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 […]

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Data Science explained Simply

6 July 2016 Written by Graham Williams
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

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