Kicking Off 2019 with an MLflow User Survey
It’s been six months since we launched MLflow , an open source platform to manage the machine learning lifecycle, and the project has...
Introducing Databricks Runtime 5.1 for Machine Learning
Last week, we released Databricks Runtime 5.1 Beta for Machine Learning. As part of our commitment to provide developers with the latest deep...
Introducing Databricks Runtime 5.0 for Machine Learning
Six months ago we introduced the Databricks Runtime for Machine Learning with the goal of making machine learning performant and easy on the...
MLflow v0.8.0 Features Improved Experiment UI and Deployment Tools
Last week we released MLflow v0.8.0 with multiple new features, including improved UI experience and support for deploying models directly via Docker containers...
Applying your Convolutional Neural Network: On-Demand Webinar and FAQ Now Available!
Try this notebook in Databricks On October 25th, we hosted a live webinar— Applying your Convolutional Neural Network —with Denny Lee, Technical Product...
Introducing Apache Spark 2.4
UPDATED: 11/19/2018 We are excited to announce the availability of Apache Spark 2.4 on Databricks as part of the Databricks Runtime 5.0...
Training your Neural Network: On-Demand Webinar and FAQ Now Available!
Try this notebook in Databricks On October 9th, we hosted a live webinar— Training your Neural Network —on Data Science Central with Denny...
MLflow v0.7.0 Features New R API by RStudio
Today, we’re excited to announce MLflow v0.7.0 , released with new features, including a new MLflow R client API contributed by RStudio...
Introduction to Neural Networks: On-Demand Webinar and FAQ Now Available!
Try this notebook in Databricks On September 27th, we hosted a live webinar— Introduction to Neural Networks —with Denny Lee, Technical Product Marketing...
How to Use MLflow To Reproduce Results and Retrain Saved Keras ML Models
In part 2 of our series on MLflow blogs, we demonstrated how to use MLflow to track experiment results for a Keras network...