With Databricks Machine Learning, new and existing ML capabilities on the Databricks Lakehouse Platform are integrated into a collaborative, purpose-built experience that provides ML engineers ...

Databricks Lakehouse Platform combines cost-effective data storage with machine learning and data analytics, and it's available on AWS, Azure, and GCP. Could it be an affordable alternative for ...

Organizations can improve performance and reduce costs by replacing the stock Databricks Runtime for Machine Learning libraries with versions optimized by Intel. Here’s how to get started.

Databricks is committed to driving innovation with its Lakehouse Platform and delivering more capabilities that make powerful, real-time machine learning accessible to any organization.

On Thursday at 11:30 a.m., Jeremy Stanley, co-founder and CTO of Anomalo, will describe a set of unsupervised machine learning algorithms for monitoring data quality at scale in Databricks.

With Databricks, Inneractive is able to query the data at scale without issue while also leveraging advanced analytics capabilities to build machine learning models in a distributed fashion.

Big-data company Databricks Inc. is hoping to empower so-called citizen data scientists to create their own machine learning models with new “Automated Machine Learning” capabilities in its ...

Databricks Machine Learning provides each member of the data team with the right tools in one collaborative environment. Users can switch between Data Science / Engineering, SQL Analytics, and the new ...

Databricks Machine Learning also provides a new ML-focused start page that surfaces the new ML capabilities and resources, with quick access to Experiments, the Feature Store, and the Model Registry.

SAN FRANCISCO, May 27, 2021 /PRNewswire/ -- Today, at the Data + AI Summit, Databricks announced the latest generation of its industry-leading machine learning (ML) offering with the launch of ...