Can you shed some light on how this came about and provide further detail? We wish Perth Machine Learning Group all the best in their future endeavours and look forward to seeing what the motivated group achieves. I think that those sort of meetups definitely have their place and are great, but I was yearning to build a group of peers that I could learn with, not a group of business people to market to. I believe that PMLG can be a way to build up a talent pool of practical machine learning coders to solve local industry challenges. We hope that our workshop helps to overcome these hurdles.
I think the most important thing is to build a community from which people can start to learn and de-mystify this topic. We believe that we are providing fertile ground that will allow a lot of machine learning based startups to thrive in Perth, and we hope that this year members from our community can go out and start applying machine learning in their companies. I then thought that there could be others who wanted to do the same, so we spoke with a local co-working industry hub CORE Innovation Hub and they kindly advertised our group on their website. One member, Grant, could see the value his team was gaining from learning new techniques and approached the Western Power Executive seeking to help us secure a permanent space for our weekly meetups. I made the jump into this role after participating in Unearthed hackathons and startup weekends where I collaborated with software devs, robotics engineers and others. The group is still growing and we are continuing our focus on providing a meetup of learning and sharing ML techniques for practical coders. How did you first become interested in machine learning? Our main motivation was to share our learnings and practical coding tips with everyone else and so the weekly Thursday meetup was created. Around March we got together to talk about machine learning techniques and the latest developments in the field. Beginner workshops to help people over the initial hurdles of setting up their machine learning coding environments; Reach out to various companies to help them up skill their data science teams; and Reach out to universities to help their students gain practical coding experience. Can you shed some light on how this came about and provide further detail? It was the start of and I wanted to learn more about Deep Learning. To express your interest in PMLG, join the meetup group: Most of the other meetup groups provided general audience machine learning discussion that was watered down for public consumption. Thus I decided to try and create a social group with some of my friends that would be like my PhD cohort. Do you prefer to understand by programming? The brilliant thing about this course is that it doesn't require any knowledge other than programming, so we could allow any person who wanted to get their hands dirty but might be scared off by maths to get started, being productive right away. Thank you to Hilary Goh and John Vial for taking the time to share their insights into the value of deep and machine learning. I asked Sean and Sarada whom I'd met through an Unearthed hackathon in Perth as well as Hilary, and they were very keen to start exploring the space with me. I also went and delivered a 3 hour workshop on machine learning at Curtin University and from those two channels we got our first members. But it was only when I attended a hackathon where my team explored the possibility of applying ML to automatically cross correlate coal seams across many drill holes that I saw how practical and transformative this method could be to the way we currently process and analyse geoscience data. We hope that our workshop helps to overcome these hurdles. I think that those sort of meetups definitely have their place and are great, but I was yearning to build a group of peers that I could learn with, not a group of business people to market to. This involved applying robotics hardware and software to create 3D underground mine mapping applications to do away with the current pen and paper method. We recently caught up with the co-founders to find out more about their adventures in machine learning. In addition, feedback from our beginner members indicated that getting started the logistical setup in machine learning coding was somewhat confusing and tricky. Recently I got together with some friends and founded the Perth Machine Learning Group where we help each other code for machine learning through weekly meetups and discussions.
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