Accelerating Machine Learning on Databricks


In this webinar, we will cover some of the latest innovations brought into the Databricks Unified Analytics Platform for Machine Learning. In particular we will show you how to:

  • Get started quickly using the Databricks Runtime 5.0 for Machine Learning, that provides a pre-configured Databricks clusters including the most popular ML frameworks and libraries, Conda support, performance optimizations, and more.
  • Track, tune, and manage models, from experimentation to production, with MLflow, an open-source framework for the end-to-end Machine Learning lifecycle that allows data scientists to track experiments, share and reuse projects, and deploy models quickly, locally or in the cloud.
  • Scale up deep learning training workloads from a single machine to large clusters for the most demanding applications using the new HorovodRunner.

Bay Area Apache Spark Meetup @ Unravel Data in SF


San Francisco, CA

Let's kick off the New Year 2019 with our first BASM Meetup! Join us for an evening of Bay Area Apache Spark Meetup featuring tech-talks about Apache Spark at scale from Unravel Data and Databricks. Agenda: 6:30 - 7:00 pm: Social Hour with Food, Drinks, Beer & Wine 7:00 - 7:05 pm: Jules Introduction & Announcements 7:05 - 7:50 pm: Tech Talk-1: Putting AI to Work on Apache Spark 8:00 - 8:45 pm: Tech Talk-2: Project Hydrogen, HorovodRunner, and Pandas UDF: Distributed Deep Learning Training and Inference on Apache Spark 8:45 - 9:00 pm: Additional Networking, Q&A