Databricks Runtime for Machine Learning includes the stock versions of scikit-learn and TensorFlow. To boost performance, however, Intel engineers replaced these versions with Intel-optimized ...

Collaborative platform delivers a streamlined way for organizations to standardize the full data and machine learning lifecycle at any scale with powerful AutoML capabilities and new ML Feature ...

SAN FRANCISCO, Nov. 28, 2017 (GLOBE NEWSWIRE) -- Databricks, provider of a leading Unified Analytics Platform and founded by the team who create ...

Databricks today unveiled a new cloud-based machine learning offering that’s designed to give engineer everything they need to build, train, deploy, and manage ML models. The new offering is designed ...

Snowflake and Databricks are on similar tracks, and both announced tools to help customers put stored data stored to work in AI apps. TechCrunch Desktop Logo TechCrunch Mobile Logo Latest ...

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 ...

SAN FRANCISCO – March 7, 2023 – Data management company Databricks today announced Databricks Model Serving designed to provide simplified production machine learning (ML) natively within the ...

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

“Machine learning is a tool and like most tools, it works best when used properly,” said Matei Zaharia, who is the chief technologist and co-founder of Databricks. “Machine learning can take ...

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 with ...