What we're about

PMLG is sponsored by Western Power, AWS, Tank Stream Labs, Microsoft and Bankwest.

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.

Website: https://www.pmlg.org

github: https://github.com/pmlg/pmlg.github.io

Twitter: @PerthMLGroup


In attending PMLG you agree to abide by PMLGs values as defined here https://www.pmlg.org/about (https://www.pmlg.org/)

Privacy Statement

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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.

Upcoming events (5)

[Beginner Friendly Coding night] Stephen Williams presents fastaiv2 library

In this talk, Stephen will guide us through the latest fastai2 library. We will possibly start with computer vision or tabular data. FastBook: https://github.com/fastai/fastbook (view only and pull requests are welcome. But, DON'T print it out) For hardcopy, please pre-order via: https://www.amazon.com/Deep-Learning-Coders-fastai-PyTorch/dp/1492045527 Fastai2 Repo: https://github.com/fastai/fastai2 Recommended Platform: Paperspace (Free version) Follow fastai v1 setup docs: https://course.fast.ai/start_gradient.html but at the second step there, select Paperspace + Fast.Ai 2.0 (V4) container. The returning to work guide 27 should work the same way, just replace `pip install fastai --upgrade` by `pip install fastai2 fastcore --upgrade` `cd course-v3` by `cd course-v4`

Wellard Tech Tinkering: Play, Build, Code & Learn

John Wellard Community Centre

Get hands-on learning with hardware this Sat in Wisteria room at JWCC. Try a dev kit, build a useful sensor & network it. Wellard has an IoT network, so it can be easy & inexpensive to start an IoT career with help from local experts! Devices in and around our homes are being made smarter every year with better connectivity to each other and the Internet. Employers in many industries need to use more cheap connected sensors to stay competitive. Learn how to benefit from these Smart Devices in day-to-day life or in your work! A "Smart Device" is any electronic device with CPU & OS, generally with sensor data transmitted to other devices or networks via different wireless protocols. * Bring your own projects and a laptop for coding. * Kids must be accompanied by an adult and supervised using any wearable technology (Augmented & Virtual Reality headsets). * Free to attend. Gold coin donations welcomed to contribute to buy hardware kits, educational experiences & games. >> Why monthly Tech Tinkering? << A regular event for easy & fun access to play, build & learn with new technologies whilst connecting with like-minded people. Everyone welcome to come along to enjoy discovering new technologies, discuss innovative ideas or bring a project to work on. Please RSVP if attending. All ages welcome, though children should be accompanied by an adult. 3D room view: https://www.kwinana.wa.gov.au/our-facilities/halls-facilities-hire/community-centre/Pages/default.aspx#link4 (Capacity is 95 people) NOTE: Hosted in Wellard, 30 minute train ride south of the CBD. => Hosted by members of Perth Machine Learning Group, Perth Internet of Things Community and Connect Wellard (connect.wellard.net.au). => Also advertised on Facebook at: https://www.facebook.com/events/508825879853752/

Perth Machine Learning Group

Tank Stream Labs

Secured building doors close at 6 pm sharp. Please arrive early to ensure entrance.

Perth Machine Learning Group

Tank Stream Labs

Secured building doors close at 6 pm sharp. Please arrive early to ensure entrance.

Past events (239)

[online] ML Video Discussion

Online event

Photos (211)

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