Watch the announcement and demo At today’s Spark + AI Summit in Amsterdam , we announced the availability of the MLflow Model Registry...

We are thrilled to see how well MLflow has been welcomed by the community since we launched it last summer. With now over...

The Spark + AI Summit Europe is just around the corner, and it's a great opportunity for data scientists and Machine Learning (ML)...

Try this notebook in Databricks On June 20th, our team hosted a live webinar— Automated Hyperparameter Tuning, Scaling and Tracking on Databricks —with...

Hyperparameter tuning is a common technique to optimize machine learning models based on hyperparameters, or configurations that are not learned during model training...

Try this tutorial in Databricks MLflow is an open source platform to help manage the complete machine learning lifecycle. With MLflow, data scientists...

Today at Spark + AI Summit, we announced Koalas, a new open source project that augments PySpark’s DataFrame API to make it compatible...

In less than a year, MLflow has reached almost 500K monthly downloads, and gathered over 80 code contributors and 40 contributing organizations, confirming...

Try this notebook in Databricks On February 12th, we hosted a live webinar— Simple Steps to Distributed Deep Learning on Databricks —with Yifan...