ML models


MLflow Model Serving in Databricks

Databricks MLflow Model Serving provides a turnkey solution to host machine learning (ML) models as REST endpoints that are updated automatically, enabling data science teams to own the end-to-end lifecycle of a real-time machine learning model from training to production. In this video from a Data + AI Summit Europe 2020 Meetup, Andre Mesarovic introduces […]

Read More
AI DevOps

ONNX and ONNX Runtime

What is the universal inference engine for neural networks? Microsoft Research just posted this video exploring ONNX. Tensorflow? PyTorch? Keras? There are many popular frameworks out there for working with Deep Learning and ML models, each with their pros and cons for practical usability for product development and/or research. Once you decide what to use […]

Read More