PyData July - Optimisation in ML, & spotlight on NEAT, an evolutionary algorithm


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

In July we have a special double presentation focused on:
* Optimisation in Machine Learning, from Senior Data Scientist Ammar Mohemmed, and
* Spotlight on NeuroEvolution of Augmenting Topology (NEAT), a type of evolutionary algorithm, from Data Scientist Jordan Wade,
...both from PyData Sydney's sponsor Intellify - Artificial Intelligence and Machine Learning consultants and the 2019 AWS Partner of the Year in Data, ML and Analytics.

Come along and hear from these practicing data scientists on some of their experience with optimisation and machine learning methods, including examples.

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.

About PyData
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.

The agenda for the session will be as follows:

5.30pm: Registration and networking
5.45pm: Introduction and meet your neighbour
Keynote presentations:
6-6:40pm Ammar Mohemmed PhD - Optimisation
6:45-7:10pm Jordan Wade - Neuroevolution of augmenting topology
7.15pm - 7.45pm: 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.