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Supercharge Your Machine Learning Projects With Databricks AutoML

Machine Learning (ML) is at the heart of innovation across industries, creating new opportunities to add value and reduce cost. At the same...

Announcing Databricks Autologging for Automated ML Experiment Tracking

August 27, 2021 by Corey Zumar and Kasey Uhlenhuth in
Machine learning teams require the ability to reproduce and explain their results--whether for regulatory, debugging or other purposes. This means every production model...

Introducing Databricks AutoML: A Glass Box Approach to Automating Machine Learning Development

May 27, 2021 by Kasey Uhlenhuth in
Today, we announced Databricks AutoML , a tool that empowers data teams to quickly build and deploy machine learning models by automating the...

Introducing the Databricks Web Terminal

Introduction We're excited to introduce the public preview of the Databricks Web Terminal in the 3.25 platform release. Any user with "Can Attach...