This paper was accepted to the MLOSS workshop at NIPS-2018 in Montréal, Canada.
While there are multiple research-based groups for the ML community around the world, the adoption of these skills by a broader base of developers will require new communities that reach beyond researchers to flourish at a large scale.
The Singapore TensorFlow & Deep Learning community is a group of over 3,000 people from different backgrounds and levels that is pushing the adoption of ML in South-East Asia, via monthly in-person meetings, guest talks, and special events.
In the proposed short talk, we will present some of the challenges, lessons learned and solutions found to building machine learning communities at scale.
The slides for the talk :
If there are any questions about the presentation please ask below, or contact me using the details given on the slides themselves.