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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...

Scaling Genomic Workflows with Spark SQL BGEN and VCF Readers

June 26, 2019 by Henry Davidge in
Read Rise of the Data Lakehouse to explore why lakehouses are the data architecture of the future with the father of the data...

Accurately Building Genomic Cohorts at Scale with Delta Lake and Spark SQL

June 19, 2019 by Frank Austin Nothaft and Karen Feng in
Get an early preview of O'Reilly's new ebook for the step-by-step guidance you need to start using Delta Lake. This is the second...

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...

Enhanced Hyperparameter Tuning and Optimized AWS Storage with Databricks Runtime 5.4 ML

June 5, 2019 by Yifan Cao and Joseph Bradley in
We are excited to announce the release of Databricks Runtime 5.4 ML ( Azure | AWS ). This release includes two Public Preview...

Introducing Databricks Runtime 5.4 with Conda (Beta)

June 4, 2019 by Hossein Falaki and Yifan Cao in
We are excited to introduce a new runtime: Databricks Runtime 5.4 with Conda (Beta). This runtime uses Conda to manage Python libraries and...

Advanced Analytics with HyperLogLog Functions in Apache Spark

May 8, 2019 by Sim Simeonov in
Read Rise of the Data Lakehouse to explore why lakehouses are the data architecture of the future with the father of the data...

Efficient Databricks Deployment Automation with Terraform

Managing cloud infrastructure and provisioning resources can be a headache that DevOps engineers are all too familiar with. Even the most capable cloud...