Rabbiteer Session

Rabbiteer Sessions
Rabbiteer Sessions
Public group
Location image of event venue


Our Rabbiteer sessions are our way of bridging the gap between university and the working world as well as a way to upgrade your workplace. With the fast advancement of tech, we make sure you never miss out by giving experts a platform to keep you in the loop.

Jade Abbott

About Jade:
Jade Abbott is a Machine Learning engineer at Retro Rabbit. She's built software for every field from social upliftment to banking, working on projects throughout Africa and considers herself a polyglot. Her current project involves training and deploying deep learning system to perform a variety of NLP tasks for real life systems - from training the models, to scaling them in production. In her free time, she does ML research on Neural Machine Translation for African languages. Twitter: @alienelf

"Machine Learning Plumbing"

Thanks to the openness of the machine learning community, anyone with a serious interest in machine learning these days, can get up a model to recognise characters or generate Trump-like tweets in a couple of hours. But what happens when we need to train a model to do a customer facing task, that we trust enough to deploy to a production system? And how do we get that model into production and maintain it once it is there?
My talk aims to share some of the struggles, trade-offs and strategies from the trenches of training and building the infrastructure for a complex deep learning model for production use.