Databricks Extends MLflow Model Registry with Enterprise Features
We are excited to announce new enterprise grade features for the MLflow Model Registry on Databricks. The Model Registry is now enabled by...
<
Page 2
Databricks Named A Leader in Gartner Magic Quadrant for Data Science and Machine Learning Platforms
Gartner has released its 2020 Data Science and Machine Learning Platforms Magic Quadrant, and we are excited to announce that Databricks has been...
Introducing the MLflow Model Registry
Watch the announcement and demo At today’s Spark + AI Summit in Amsterdam , we announced the availability of the MLflow Model Registry...
Productionizing Machine Learning: From Deployment to Drift Detection
Try this notebook to reproduce the steps outlined below and watch our on-demand webinar to learn more. In many articles and blogs the...
AutoML on Databricks: Augmenting Data Science from Data Prep to Operationalization
Thousands of data science jobs are going unfilled today as global demand for the talent greatly outstrips supply. Every day, businesses pay the...
Announcing the MLflow 1.1 Release
We’re excited to announce today the release of MLflow 1.1. In this release, we’ve focused on fleshing out the tracking component of MLflow...
What's new with MLflow? On-Demand Webinar and FAQs now available!
On June 6th, our team hosted a live webinar— Managing the Complete Machine Learning Lifecycle: What's new with MLflow —with Clemens Mewald, Director...
Announcing the MLflow 1.0 Release
MLflow is an open source platform to help manage the complete machine learning lifecycle. With MLflow, data scientists can track and share experiments...
Announcing General Availability of Managed MLflow on Databricks
Try this tutorial in Databricks MLflow is an open source platform to help manage the complete machine learning lifecycle. With MLflow, data scientists...