PLEASE NOTE: that RSVPing to this page DOES NOT GRANT YOU ACCESS to this meetup,
Spaces are limited! Due to popular demand & Amazon Facilities Management, PLEASE SIGNUP via the EVENTBRITE LINK BELOW:
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PLEASE NOTE: that RSVPing to this page DOES NOT GRANT YOU ACCESS to this meetup, please signup via the eventbrite link ABOVE...
Amazon will be our host and has been kind enough to sponsor beer and pizza at this upcoming Machine Learning meetup on the 23rd of October. Event starts at 6pm, with the event starting at 6:30pm sharp.
For the last 10 weeks Sydney Machine Learning has been working through Harvard University's CS109 Course. During the course 9 groups formed and have been working on Data Science projects.
The 23rd of October is Project Presentation Day here at Sydney Machine Learning in an event we have titled “Judgement day (http://www.chud.com/wp-content/uploads/2015/06/T2-Poster.jpg)” :)
Groups will present their Data Science & Machine Learning projects in a “shark-tank” like event presenting to you the public, and also three amazing judges from Amazon, Atlassian & Quantium.
Come along to learn how data science & machine learning can be applied to unique real world situations & applications.
The best teams will win Amazon Echo devices & a trip to our local pub, Art House.
May the best machine learning team win.
Travis Gallion, Solutions Architect, Amazon
Team leader of Solutions Architects at Amazon Web Services. Solution Architects partner with customers and internal AWS teams to craft highly scalable, flexible and resilient cloud architectures that address customer business problems.
Geoff Sims, Ph.D, Senior Analyst, Atlassian
Geoff is a Senior Analyst, whose work consists of providing the key analytics capability for Atlassian, bridging the gap between the customers of Atlassian and Atlassian's support & product teams.
Chris Tom, Ph.D, Data Scientist, Quantium
Chris is a senior consultant at Quantium, where he has led the development of sophisticated machine learning models to personalise marketing messages and build predictive models to help Quantium's clients optimize their pricing.
Time: 6:00 – 8:30 pm
Venue: Amazon, Level 37, 2 Park Street Sydney