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Productionizing Machine Learning with Delta Lake

August 14, 2019 by Brenner Heintz and Denny Lee in
Get an early preview of O'Reilly's new ebook for the step-by-step guidance you need to start using Delta Lake. Try out this notebook...

Deep Learning on Medical Images at Population Scale: On-Demand Webinar and FAQ Now Available!

August 13, 2019 by Michael Ortega in
On June 26th, we hosted a live webinar — Deep Learning on Medical Images at Population-scale — with members of the data science...

Announcing Databricks Runtime 5.5 with Conda (Beta)

July 24, 2019 by Yifan Cao in
Databricks is pleased to announce the release of Databricks Runtime 5.5 with Conda (Beta). We introduced Databricks Runtime 5.4 with Conda (Beta), with...

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...

Automated Hyperparameter Tuning, Scaling and Tracking: On-Demand Webinar and FAQs now available!

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

Announcing Databricks Runtime 5.5 and Runtime 5.5 for Machine Learning

July 16, 2019 by Yifan Cao in
Databricks is pleased to announce the release of Databricks Runtime 5.5. This release includes Apache Spark 2.4.3 along with several important improvements and...

What's new with MLflow? On-Demand Webinar and FAQs now available!

June 26, 2019 by Clemens Mewald in
On June 6th, our team hosted a live webinar— Managing the Complete Machine Learning Lifecycle: What's new with MLflow —with Clemens Mewald, Director...

Detecting Data Bias Using SHAP and Machine Learning

June 17, 2019 by Sean Owen in
Try the Detecting Data Bias Using SHAP notebook to reproduce the steps outlined below and watch our on-demand webinar to learn more. StackOverflow's...

Hyperparameter Tuning with MLflow, Apache Spark MLlib and Hyperopt

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

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...