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How to Display Model Metrics in Dashboards using the MLflow Search API

February 18, 2020 by Avesh Singh, Jules Damji and Max Allen in
Machine learning engineers and data scientists frequently train models to optimize a loss function. With optimization methods like gradient descent, we iteratively improve...

Managed MLflow Now Available on Databricks Community Edition

In February 2016, we introduced Databricks Community Edition , a free edition for big data developers to learn and get started quickly with...

A Guide to Training Sessions at Spark + AI Summit, Europe

September 29, 2019 by Jules Damji and Taggart McCurdy in
Education and the pursuit of knowledge are lifelong journeys: they never complete; there is always something new to learn; a new professional certification...

A Guide to Developer, Deep Dive, and Apache Spark Tutorial Talks at Spark + AI Summit, Europe

September 5, 2019 by Jules Damji in
You might have heard the famous saying, “Why software is eating the world .” But if software is eating the world, you may...

MLflow v0.9.0 Features SQL Backend, Projects in Docker, and Customization in Python Models

March 28, 2019 by Sue Ann Hong and Jules Damji in
Read Rise of the Data Lakehouse to explore why lakehouses are the data architecture of the future with the father of the data...

A Guide to Developer, Deep Dive, and Continuous Streaming Applications Talks at Spark + AI Summit

February 19, 2019 by Jules Damji in
In January 2013 when Stephen O’Grady, an analyst at RedMonk , published “The New Kingmakers: How Developers Conquered the World ,” the book’s...

A Guide to AI, Machine Learning, and Deep Learning Talks at Spark + AI 2019

December 18, 2018 by Jules Damji in
To a good degree, this back-of-the-envelope flowchart, by Karen Hao of MIT Technology Review , charts to elucidate what constitutes the use of...

Preliminary Agenda Announced for Spark + AI Summit 2019

November 27, 2018 by Jules Damji and Jen Aman in
As part of the organizing committee and program chairs for this summit, we are delighted to share two achievements with you. First, we...

MLflow v0.8.0 Features Improved Experiment UI and Deployment Tools

November 21, 2018 by Aaron Davidson and Jules Damji in
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...

Introducing HorovodRunner for Distributed Deep Learning Training

Today, we are excited to introduce HorovodRunner in our Databricks Runtime 5.0 ML ! HorovodRunner provides a simple way to scale up your...