What we’re about
PMLG formed in late 2016 to help build the eco system for Artificial Intelligence and Machine Learning in Australia
This group is for anyone interested in learning to code practical Machine Learning applications with a strong emphasis on deep learning. We loosely follow the Jeremy Howard Fast.Ai course with a remit of peer learning through sharing with your peers.
Our group covers a wide field of AI and data science techniques which we encourage people to explore by participating in solving real world problems.
All skill levels are welcome but you must be prepared to try your hand at coding and importantly share your learning experience.
In attending PMLG you agree to abide by PMLGs values as defined here https://www.pmlg.org/about
Contact information: PMLG does not share contacts in our control with third parties. Please contact us immediately you believe a member is abusing the group contacts or messaging systems.
During meetings and events, we may take photographs or create video recordings at any time in connection with the meetup activities. By attending our meetup, you agree that we can use the photographs or recordings for any purpose and at any time, including on our website, in our publicity or in our publications. If you do not agree please let us know before or during the meeting.
General Advice Warning
The information provided on and through all PMLG media, correspondence and events is general in nature only and does not constitute personal advice. The information has been prepared without taking into account your personal objectives, situation or needs. Before acting on any information on this website you should consider the appropriateness of the information having regard to your objectives, situation and needs. Therefore, before you decide to act on any information, buy any product or keep or cancel a similar product that you already hold. Before making any decision, it is important for you to consider these matters and to seek appropriate technical, legal, tax, and other professional advice.
All statements made by PMLG are made in good faith and we believe they are accurate and reliable. PMLG does not give any warranty as to the accuracy, reliability or completeness of information that is contained in its media, except in so far as any liability under statute cannot be excluded. PMLG, its directors, employees and their representatives do not accept any liability for any error or omission in any PMLG media, correspondence or events or for any resulting loss or damage suffered by the recipient or any other person. Unless otherwise specified, copyright of information provided on PMLG media are the property of PMLG.