Melbourne Data Science Week - 29 May - 2nd June 2017
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Melbourne Data Science Week at a Glance

29th May - 2nd June 2017

Mon-Thu: Tutorials @KPMG

DateTutorialTutor
Mon 29th MayTime Series in R, Forecasting and Visualisation Earo Wang & Rob Hyndman
The Art of Data StorytellingIsaac Reyes
Getting Started with Deep LearningZhen He
Tue 30th MayGetting Started with Deep LearningZhen He
R Markdown EcosystemYihui Xie
Wed 31st MayGetting Started with Predictive Modelling and Machine LearningNayyar Zaidi & Phil Brierley
Visualisation for Data Mining / Sports Analytics with RDi Cook & Stephanie Kovalchick
Thu 1st JuneAssociation Rules, Text Mining and Social Network Analysis / Machine Learning with Rattle and R Yanchang Zhao &
Graham Williams
Building Web Apps and Dashboards with RStudio's ShinyEric Hare & Lawrence Mosley

Thursday 1st June from 5:15pm: Opening Talks, Drinks & Finger Food @KPMG

Join us aftter work (or the tutorials) at KPMG for two opening talks and welcome reception, plus an optional tour of their new Insights Centre

Friday 2nd June: Wombat MeDaScIn @nab

Friday 2nd June nab
 700 Bourke St, Docklands
The ArenaThe Hall
Morning
8:00Registration (tea & coffee provided)
8:30Welcome
8:40 - 9:25Opening Keynote
Graham Williams
Extreme Ensembles as the Future of Data Science and Intelligent Apps
9:30 - 9:55Lisa Schutz
Lean Data v. Big Data: Data scientists have a lot to learn from lean manufacturing. More is not always better.		Ann Nicholson
Bayesian networks for decision making under uncertainty
10:00 - 10:25Amy Shee-Nash
Data Science at Scale in Large Organisations		Lawrence Mosley
Entrepreneurship and the Brave Data Science Graduate Student
10:25 - 10:45Morning Tea (provided)
10:45 - 11:10Glen Rabie
Data Analyst to CEO		Diana Benavides Prado
Implementation of a predictive model to support child maltreatment hotline screening decisions
11:15 - 11:40Ying Yang
Leading Data Science In The Public Service		Nick Tierney
Tidy approaches to Missing Data
11:45 - 12:10Chris Culnane
The fallacy of de-identification and its impact on Open Data		 Eun-kyung Lee
Visualization of Projection Pursuit Classification Tree Models
12:10 - 12:55Lunch (provided)
Afternoon
12:55 -1:40Overseas Keynote
Yihui Xie
Towards An Open-access, Fast, and Reproducible Journal
1:40 - 2:20Panel Discussion
Open Data in Australia: Privacy, Ownership, Quantitative citizenship
Lisa Schutz, Andrew Robinson, Di Cook, James Horton, Nicholas Gruen
2:20 - 2:30Break
2:30- 2:55Colette Marais
Data Science in the Wild		Simon Angus
The Internet as a quantitative social science observation platform
3:00 - 3:25Ross Gayler
Credit scoring as data science in the wild: A stroll through the contextual zoo		Stephanie Kovalchik
Challenges of the Challenge System in Professional Tennis
3:25 - 3:45Afternoon Tea (provided)
3:45 - 4:10Tiberio Caetano
Data Science Bullshitting		Sandy Clarke
Improving Estimation of Biosecurity Risk
4:15 - 5:30Datathon Presentations
Entrants of the 2017 Melbourne Datathon will present their findings on Australian Drug Prescriptions &
the presentation to the winners of the Kaggle competition for predicting Diabetes 		Lightning Talks
5:30+Networking