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VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:Australia/Brisbane
BEGIN:STANDARD
DTSTART:19920301T020000
TZOFFSETFROM:+1100
TZOFFSETTO:+1000
TZNAME:AEST
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BEGIN:VEVENT
DTSTAMP:20181221T060903Z
UID:7315034C-AA5B-46B7-88DD-6D524C29419A
DTSTART;TZID=Australia/Brisbane:20181031T143000
DTEND;TZID=Australia/Brisbane:20181031T153000
DESCRIPTION:Using splines and generalised additive models in R to illustrat
 e the bias-variance trade-off\n\nPlease install R and RStudio\, and enable
  eduroam\, before attending this session.\n\nR - [http://www.r-project.org
 /](https://protect-au.mimecast.com/s/kS6ZCoVzpvfB5OMjH7jhDc?domain=r-proje
 ct.org)\n\nRStudio - [http://www.rstudio.com/](https://protect-au.mimecast
 .com/s/x8ETCp8ArRHvqYG1CxUHZj?domain=rstudio.com)\n\nNote: If you want to 
 produce reproducible analysis using knitr and markdown\, then you should a
 lso install the two pieces of software (MiKTeX and Pandoc): [http://rprogr
 amming.net/create-html-or-pdf-files-with-r-knitr-miktex-and-pandoc/](https
 ://protect-au.mimecast.com/s/3_9XCq7BwVcznqDKCpSoh-?domain=rprogramming.ne
 t). These two pieces of software allow you to produce PDF output in additi
 on to the standard outputs.\n\nCo-sponsored by: Bond University Centre of 
 Actuarial and Financial Big Data Analytics\n\nSpeaker(s): Dr Adrian Gepp\,
  \n\nRoom: Big Data Room (BLD_3_09)\, Bldg: Building 2\, Bond University\,
  14 University Drive\, Robina\, Queensland\, Australia\, 4226
LOCATION:Room: Big Data Room (BLD_3_09)\, Bldg: Building 2\, Bond Universit
 y\, 14 University Drive\, Robina\, Queensland\, Australia\, 4226
ORGANIZER:a.lewis@griffith.edu.au
SEQUENCE:4
SUMMARY:Big Data R Tutorial
URL;VALUE=URI:https://events.vtools.ieee.org/m/178430
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;&lt;strong&gt;Using splines and generalised addi
 tive models in R to illustrate the bias-variance trade-off&lt;/strong&gt;&lt;/p&gt;\n&lt;
 p&gt;Please install R and RStudio\, and enable eduroam\, before attending thi
 s session.&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;R -&amp;nbsp\;&lt;a href=&quot;https://protect-au.mimecast.c
 om/s/kS6ZCoVzpvfB5OMjH7jhDc?domain=r-project.org&quot;&gt;http://www.r-project.org
 /&lt;/a&gt;&lt;/p&gt;\n&lt;p&gt;RStudio -&amp;nbsp\;&lt;a href=&quot;https://protect-au.mimecast.com/s/x
 8ETCp8ArRHvqYG1CxUHZj?domain=rstudio.com&quot;&gt;http://www.rstudio.com/&lt;/a&gt;&lt;/p&gt;\
 n&lt;p&gt;Note: If you want to produce reproducible analysis using knitr and mar
 kdown\, then you should also install the two pieces of software (MiKTeX an
 d Pandoc):&amp;nbsp\;&lt;a href=&quot;https://protect-au.mimecast.com/s/3_9XCq7BwVcznq
 DKCpSoh-?domain=rprogramming.net&quot;&gt;http://rprogramming.net/create-html-or-p
 df-files-with-r-knitr-miktex-and-pandoc/&lt;/a&gt;. These two pieces of software
  allow you to produce PDF output in addition to the standard outputs.&lt;/p&gt;
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