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How Statisticians and Data Scientists could learn from each other
Save the date for a special event. We'll be hearing from Xavier Conort, chief data scientist at Data Robot plus other speakers to be announced shortly. This event is a KPMG 'Diversity in Data' event and you should sign up at this link.... https://www.eventbrite.com.au/e/diversity-in-data-tickets-50893648272 Xavier Conort http://www.labourbeat.org/2018/09/20/what-does-a-data-scientist-do/ Data Scientists have been highly successful at automating modeling through Machine learning, and continue to build capabilities to extract powerful insights at an impressive pace. On the other hand, Statisticians have been attempting to manually build complex and robust models with features from Generalized Linear Models (GLMs), such as p-values, exponential distributions, link functions, offsets and mixed models. These GLMs functions are little-known by Data Scientists while Statisticians may dismiss Machine Learning tools that they find too complex, calling them “black boxes”. Are Statisticians missing something here that could present important opportunities to help them find patterns and build solutions for the increasingly larger and more complex ranges of data? This presentation will show that Statisticians and Data Scientists can complement, and learn important practices from each other. The Xgboost package, one of the most popular open source projects, is a good example of such collaboration.

KPMG Collins Square Tower Two Level 36

727 Collins St · Melbourne

Respond by: 11/28/2018
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What we're about

This is a group for anyone interested in 'Data Science'. We are not quite sure what the exact definition of a Data Scientist is, but if you deal with something generally related to converting data into useful insight then you will hopefully benefit from joining the group.

Whether you’re in business, academia, or government, and whether you’re an analyst, data miner, programmer, student, electrical engineer, computer scientist, physicist, etc, and you work with data to generate insights, build predictive models, build optimisation models, build reports/dashboards/visualisations, automate analyses, etc, using python, R, SQL, C/C+, Java, Tableau, Excel, Hadoop, etc, and you care about doing it right, efficiently, repetitively, optimally, visually, etc, then join us!

We meet every 6 weeks or so with normally 2 talks, one being of a technical nature. The evening is also for networking over beer and pizza and afterwards we normally continue the discussions down the pub.

*due to demand, we now have morning and lunchtime meetups.

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