Announcing Databricks Autologging for Automated ML Experiment Tracking
Machine learning teams require the ability to reproduce and explain their results--whether for regulatory, debugging or other purposes. This means every production model...
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Introducing Databricks AutoML: A Glass Box Approach to Automating Machine Learning Development
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...