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Scalable End-to-End Deep Learning using TensorFlow™ and Databricks: On-Demand Webinar and FAQ Now Available!

July 13, 2018 by Brooke Wenig and Siddharth Murching in Platform Blog

On July 9th, our team hosted a live webinar— Scalable End-to-End Deep Learning using TensorFlow™ and Databricks —with Brooke Wenig, Data Science Solutions...

How to Use MLflow, TensorFlow, and Keras with PyCharm

July 10, 2018 by Jules Damji in Engineering Blog

At Data + AI Summit in June, we announced MLflow , an open-source platform for the complete machine learning cycle. The platform’s philosophy...

Analyze Games from European Soccer Leagues with Apache Spark and Databricks

July 9, 2018 by Abhinav Garg and Denny Lee in Platform Blog

Try this notebook series in Databricks Introduction The global sports market is huge, comprised of players, teams, leagues, fan clubs, sponsors, etc., and...

Sharing R Notebooks using RMarkdown

July 6, 2018 by Hanyu Cui and Hossein Falaki in Company Blog

At Databricks, we are thrilled to announce the integration of RStudio with the Databricks Unified Analytics Platform. You can try it out now...

MLflow 0.2 Released

July 3, 2018 by Mani Parkhe and Matei Zaharia in Engineering Blog

At this year’s Spark+AI Summit , we introduced MLflow , an open source platform to simplify the machine learning lifecycle. In the 3...