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Melbourne Data Science Week 2017 - Conference



Description

The default ticket is for the Thursday evening and Friday sessions. 

For full details of this event and how this booking system works, please first see here.

Note: These are limited earlybird prices. GST and booking fee is included and a tax receipt will be emailed to you on completion.

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Class Schedule

What you will learn
  • Credit scoring
  • A touch of R
  • All things Data Science
What you will get
  • 18 + Talks
  • 2 parallel sessions
  • Panel discussion
  • Fully catered
  • Networking
  • Thursday evening talks and drinks reception

What to wear

Casual


Logo

Data Science Melbourne

Vendor sincce 2016

Data Science Melbourne is a Meetup Group based in Melbourne, Australia. We have 5,100+ members, and hold regular events related to Data Science.

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Cancelation & Refund Policy

Cancellation Policy

  • Unforeseen circumstances may arise where particular tutorials may have to be cancelled, replaced or changed day. With the early bird 4 bundle tutorial offer then if there is a change to 2 or more tutorials then a full refund or pro-rata refund will be available.
  • If your own circumstances change and you can no longer make it, then a full refund will be given provided we are notified 7 days in advance of the tutorial.
  • If it is later than 7 days then we will be as accommodating as we can to give a full refund if there is a waiting list. If it is too late to re-sell the places then a 50% refund will be offered.
  • For the conference, full refunds will be available if we are notified at least 3 days before the event.

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7 Reviews
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Margaret

19 June 2017 • Melbourne Data Science Week 2017 - Conference

Really enjoyed the interesting presentations - will look forward to coming again next year!

Siddharth

12 June 2017 • Melbourne Data Science Week 2017 - Conference

What is going on in industry

Marcus

06 June 2017 • Melbourne Data Science Week 2017 - Conference

That the developments in techniques was not much from the 1980s- but that the speed of operation(esp deep learning had been revolutionised. I also note that content was not given much import, only resolutions of deductions from the data. The atmosphere was splendid, and the networking enabled as much as the organisers could manage. Met many of my old acquaninteces of the 80s era.Now a lot older and even more impressive.Overall excellent raneg of speakers, with the usual odd misfire (which just cant be helped in a large meeting like this). Bravo Phil Brierley

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