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How to Train XGBoost With Spark

November 16, 2020 by Stephen Offer in
XGBoost is currently one of the most popular machine learning libraries and distributed training is becoming more frequently required to accommodate the rapidly...

MLflow 1.12 Features Extended PyTorch Integration

MLflow 1.12 features include extended PyTorch integration, SHAP model explainability, autologging MLflow entities for supported model flavors , and a number of UI...

Announcing the Launch of Databricks SQL

November 12, 2020 by Joel Minnick in
Databricks SQL is now generally available on AWS and Azure. Today, we announced the new Databricks SQL service to provide Databricks customers with...

Leveraging ESG Data to Operationalize Sustainability

November 11, 2020 by Antoine Amend in
The benefits of Environmental, Social and Governance (ESG) are well understood across the financial services industry. In our previous blog post , we...

Improving the Spark Exclusion Mechanism in Databricks

November 6, 2020 by Tianhan Hu, Xingbo Jiang and Xiao Li in
Ed Note: This article contains references to the term blacklist, a term that the Spark community is actively working to remove from Spark...

Quickly Deploy, Test, and Manage ML Models as REST Endpoints with MLflow Model Serving on Databricks

MLflow Model Registry now provides turnkey model serving for dashboarding and real-time inference, including code snippets for tests, controls, and automation. MLflow Model...

Ten Simple Databricks Notebook Tips & Tricks for Data Scientists

October 29, 2020 by Jules Damji in
Often, small things make a huge difference, hence the adage that "some of the best ideas are simple!" Over the course of a...

Reputation Risk: Improving Business Competency and Nurturing Happy Customers by Building a Risk Analysis Engine

October 26, 2020 by Sri Ghattamaneni in
Why reputation risk matters? When it comes to the term "risk management", Financial Service Institutions (FSI) have seen guidance and frameworks around capital...

Faster SQL: Adaptive Query Execution in Databricks

October 21, 2020 by MaryAnn Xue and Allison Wang in
Earlier this year, Databricks wrote a blog on the whole new Adaptive Query Execution framework in Spark 3.0 and Databricks Runtime 7.0. The...

Detecting At-risk Patients with Real World Data

October 20, 2020 by Amir Kermany and Frank Austin Nothaft in
With the rise of low cost genome sequencing and AI-enabled medical imaging, there has been substantial interest in precision medicine. In precision medicine...