The following video was recorded at Melbourne R Users. A summary of the talk is as follows:
Recent advances in medical imaging allow us to routinely acquire highly detailed images of the living human brain. These images can be used to inform us about how structural and functional changes in the brain are associated with disease and the environment. The wealth of information captured with these imaging methods has lead to additional challenges in processing and interpreting the data. In this talk I will describe how an MRI scan is acquired; how image analysis techniques help us understand neurological disorders, with a focus on epilepsy; and some challenges that face medical image analysis. Along the way I will talk about how R has helped my research.
Heath Pardoe is a postdoc at the Florey Neuroscience Institutes. He started out doing experimental physics, but would now almost describe himself as a neuroscientist. He uses image analysis methods to explore facets of the relationship between brain changes and neurological disorders. The primary neurological disorder he investigates is epilepsy. His current research interests include how the structure of the brain may be different in people with epilepsy, the impact of epileptic seizures on the brain, and how the brain changes during treatment with antiepileptic medication.
The following video was filmed at Melbourne R Users.
The description of the talk from the meetup site:
Eu Jin is a Senior Analyst with Deloitte Analytics in Melbourne. He has over four years experience in data mining and statistical modelling in various industries, developing solutions to solve difficult problems. Prior to joining Deloitte, Eu Jin worked for NAB (National Australia Bank) and TNS in marketing research.
Other than being a senior analyst at Deloitte, Eu Jin is also a competitive data miner (he recently won a Kaggle competition on credit scoring with fellow MelbURNian Alec Stephenson). In this presentation he’ll talk about the benefits of R from a data mining competitor’s point of view and from the point of view of an employee at Deloitte. The key insight from his experiences with R is that although R is the top favourite for recreational use, it’s not quite there yet for full commercial deployment. He’ll show what are some of the good things that R does well and some that it doesn’t do quite well, from his experience working in Deloitte versus using it for recreational purposes.
This post shares the video from the talk presented On November 30 2011 by Dr
Lyndon Walker (see Meetup page) at
the end of year function for Melbourne R Users. Lyndon Walker
(@lyndonwalker) has been using R for
nearly half his life. He studied and worked at the UniveRsity of Auckland, the
birthplace of R, so he has witnessed some the history of its development. In
this presentation he shares his reflections, anecdotes, and tips for getting the
most out of R. Lyndon is currently a Senior Lecturer in Statistics at Swinburne
University of Technology, and he also plays guitar and indoor soccer.
On September 14th 2011
Dr Alec Stephenson gave a talk on exploring spatial data with R
(see Meetup page). The video of the talk is now available online.
The talk provides a non-mathematical and entirely equation-free talk on
visualizing and analysing spatial data in R. Alec discusses the different types of
spatial data, the main R packages needed for the analysis of those types, and
present a selection of examples from a wide range of application areas. He
briefly illustrates how R can be used to visualize data in other software such as
Google Earth and Quantum GIS. He also looks at geological data, rainforests, cancer
cases, biological cells, and maps Australian states.
Alec Stephenson is a Lecturer at Swinburne University of Technology, a former
Assistant Professor at the National University of Singapore and a former
post-doc at Macquarie University. Alec is a mathematician, statistician and
programmer, and wrote several R packages when he was a PhD student at Lancaster
University, U.K., following undergraduate training at Warwick and Oxford. These
days he selfishly only writes code for himself, and has given all his publicly
available software away to other people who are younger and cleverer. He is
looking forward to becoming an Australian citizen in 2012.
Many thanks to Deloitte for providing an excellent venue.
Hong Ooi talks about some of the more interesting projects that he has used R for in the last year. These include fitting models for mortgage loss given default, a Monte Carlo application for stress-testing loan portfolios (in combination with Excel and SAS), a framework for calculating through-the-[economic-]cycle probabilities of default, and possibly others. He also talks about some of the challenges involved in getting R accepted in a conservative financial institution workplace.
Hong Ooi graduated from Macquarie University with a BEc in actuarial studies, then worked with NRMA Insurance/IAG in Sydney for many years. Completed a Masters in Applied Stats from Macquarie in 1997, and a PhD in statistics from ANU from 2000-2004. Displayed impeccable timing by switching jobs to St George Bank on the eve of the global financial crisis. Now with ANZ Bank in Melbourne, and adapting to the rigours of life south of the border.
Jeremy Howard gave a talk at the Melbourne R User Group on 16th March 2011.
Jeremy provided tips on how to successfully compete in data mining competitions. He showed how he combines R with other tools to build predictive models. He gave a walkthrough of the data, visualizations, and code, for a number of his competition entries. The talk also included an introduction to the theory behind Jeremy’s favourite modelling algorithm: random forests.
During the first part of our meeting, Ryan Rosario presented on the topic of large datasets in R. Video, slides and code of the talk “Taking R to the Limit: Large Datasets” by Ryan Rosario at the Los Angeles area R Users Group in August 2010 are below.
Slides are also available for PDF download here.
R code is available here.
More information about the talk can be found here.
During the second part, Trividesh Jena presented on creating models in R for use with the Zementis ADAPA product in the cloud. The video of his talk is below.
This is an older (2009) video from the kickoff meeting of the San Francisco Bay Area R Users Group. It was a panel discussion within the Predictive Analytics World conference. Video courtesy by Ron Fredericks of LectureMaker (click on the image below to see the video on LectureMaker’s site).