What is “production” anyway? MLOps for the curious

Join RLadies Sydney online for a Special Event with Julia Silge!
Please register on the Rladies Sydney Meetup page to attend the event online: https://meetu.ps/e/NjB8n/yxNGr/i

RLadies Sydney are thrilled to welcome Julia Silge, a data scientist and engineering manager at Posit PBC (formerly RStudio), where she works on open source modeling and MLOps tools.
She is a tool builder, an author, an international keynote speaker, and a real-world practitioner focusing on data analysis and machine learning. Julia loves text analysis, making beautiful charts, and communicating about technical topics with diverse audiences. You can find her online at her blog and YouTube.

Topic:

While data scientists are often taught about training a machine learning model, building an MLOps strategy to deploy and maintain that model can be daunting. In this talk, learn about MLOps concepts like model deployment and model drift, the different ways the word “performance” is used with models, what you can monitor about a model, how feedback loops impact models, and how you can set yourself up for success with model maintenance. This talk will help practitioners who are already deploying models, but this is also useful knowledge for data science practitioners earlier in their MLOps journey; decisions made along the way can make the difference between resilient models that are easier to maintain and disappointing or misleading models.