MLOps with vetiver
Julia Silge
Registered Attendees (53)
January 2023 speaker is Julia Silge, data scientist and software engineer at Posit PBC, with a PhD in astrophysics. Julia is an author, international keynote speaker, and practitioner in data analysis and machine learning.
In the talk, she covers the challenges of deploying and maintaining machine learning models and introduces the principles of MLOps. She also discusses the various tasks and components involved in MLOps and demonstrates how to get started with vetiver, a framework for MLOps tasks in R. The video provides a great resource for those interested in learning more about MLOps and how to implement it in their own projects.
The process of training a machine learning or statistical model is well understood by many data scientists. However, the task of creating a strategy to deploy and maintain that model can be overwhelming. This is where Machine Learning Operations (MLOps) comes in.
MLOps is a set of principles and practices that can be used to create a practical strategy for deploying and maintaining machine learning models.
Material of the talk: mlops-r-ladies-rome