Data Science and Public Policy Seminars - 'What is “production” anyway? MLOps for the curious' (Julia Silge)

We would like to invite all interested parties to attend the next Data Science and Public Policy Seminar . In this session, Julia Silge (data scientist and engineering manager, Posit PBC) presents What is “production” anyway? MLOps for the curious . Focusing on the issue of Machine Learning models deployment and maintenance through an MLOps strategy, Julia will broach this strategy's main concepts, as well as its implementation and the ways to assess its performance. Although this seminar is recommended for people who already have some knowledge of developing MLOps models, those who want or are about to start their journey with this type of models are also encouraged to participate.

Julia Silge     

Julia Silge is a data scientist and engineering manager at Posit PBC, where she leads a team of developers building fluent, cohesive open source software for data science in Python and R. She is a tool builder, author, international keynote speaker, and real-world data science practitioner. She holds a PhD in astrophysics and serves on the technical advisory committee of the US Bureau of Labor Statistics. 
 

Register Here

Despite the event being free, registration is mandatory