PyData Nov - Amin Khatami (Intellify), Ahmed Hammad (UNSW), Eric Greene (AWS)

PyData Sydney
Your opportunity to network, learn from practicing data scientists and analysts, meet fellow scientists/enthusiasts and discuss ideas in a collaborative environment!

For this final PyData for 2020, we will have 2 keynote speakers, from both industry and academia:

• Amin Khatami PhD, Senior Data Scientist, Intellify - "Object Tracking in TensorFlow: Building your own computer vision models"
• Ahmed WA Hammad PhD, Lecturer - Faculty of Built Environment UNSW - "Decomposition approach for large scale mathematical optimisation problems: A case in construction planning and transportation design"
• We will also be featuring a few updates from AWS' Eric Greene, on AI and ML services on AWS.

It should be a great evening, with some experienced speakers and use cases.

** IMPORTANT NOTE FOR ATTENDEES : you will need to bring photo ID to sign in at AWS security on arrival at Level 37 **

This PyData Sydney meetup will be sponsored by:

• Intellify - Artificial Intelligence and Machine Learning consultants and the 2019 AWS Partner of the Year in Data, ML and Analytics
• Amazon Web Services (AWS)

About PyData

Our mission is to be an accessible, community-driven conference, with novice to advanced level presentations. Bringing attendees the latest project features along with cutting-edge use cases.

Globally, the PyData network of over 100 chapters promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualisation. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R.

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The agenda for the session will be as follows:

5:45-6pm: Arrival/sign in and networking
6:15pm: Introduction and meet your neighbour
6:25pm: Eric Greene - AI and ML services on AWS
6:40pm: Keynote presentations:

• Dr Amin Khatami - Object Tracking in TensorFlow: Building your own computer vision models
• Dr Ahmed WA Hammad - Decomposition approach for large scale mathematical optimisation problems: A case in construction planning and transportation design
  7:40pm - 7:55pm: General Q&A and networking

Terms and conditions:

• Limited complimentary tickets are available, please only register if you can attend.
  ** By attending this event you agree to receive promotional content from the sponsors and organisers.
  *** Unless otherwise stated, by attending this event you agree to appear in photos for future PyData promotional content.