Learn how to quickly containerize and share machine learning models using BentoML in this informative presentation. Discover how data scientists can create intuitive API endpoints for their teammates to interact with trained models, regardless of operating systems or programming language familiarity. Follow along with live demonstrations on using BentoML to deploy models, build Bentos, and put machine learning into production with just a few lines of Python code. Gain practical insights into streamlining the model sharing process and enhancing team collaboration in machine learning projects.
BentoML - Create an ML Powered Prediction Service in Minutes
Overview
Syllabus
Introduction
Deploying an ML model
BentoML with Demo
Building a Bento with Demo
QnA
Taught by
Data Science Dojo
