On-Demand Webinar and FAQ: Deep Learning and Apache Spark: Workflows and Best Practices
On May 4th, we hosted a live webinar — Deep Learning and Apache Spark: Workflows and Best Practices . Rather than comparing deep...
Detecting Abuse at Scale: Locality Sensitive Hashing at Uber Engineering
This is a cross blog post effort between Databricks and Uber Engineering. Yun Ni is a software engineer on Uber’s Machine Learning Platform...
On-Demand Webinar and FAQ: Apache Spark MLlib 2.x: How to Productionize your Machine Learning Models
On March 9th, we hosted a live webinar— Apache Spark MLlib 2.x: How to Productionize your Machine Learning Models —to address the following...
Intel’s BigDL on Databricks
Try this notebook on Databricks Intel recently released its BigDL project for distributed deep learning on Apache Spark. BigDL has native Spark integration...
Deep Learning on Databricks
We are excited to announce the general availability of Graphic Processing Unit (GPU) and deep learning support on Databricks! This blog post will...
GPU Acceleration in Databricks
Databricks is adding support for Apache Spark clusters with Graphics Processing Units (GPUs), ready to accelerate Deep Learning workloads. With Spark deployments tuned...
Databricks Bi-Weekly Digest: 8/8/16
Continuing with our bi-weekly digest series, here’s our recap of what’s transpired over the last two weeks with Apache Spark since our previous...
Apache Spark 2.0 Preview: Machine Learning Model Persistence
Introduction Consider these Machine Learning (ML) use cases: A data scientist produces an ML model and hands it over to an engineering team...
Genome Sequencing in a Nutshell
This is a guest post from Deborah Siegel from the Northwest Genome Center and the University of Washington with Denny Lee from Databricks...
Parallelizing Genome Variant Analysis
This is a guest post from Deborah Siegel from the Northwest Genome Center and the University of Washington with Denny Lee from Databricks...