Databricks AutoML, like other AutoML solutions, automates many of the steps that data scientists must manually go through in terms of experimenting and testing different machine learning models. But ...

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 ...

Moreover, Databricks' recent fundraising round and financial revelations may also indicate both its value as a start-up and ...

Databricks, the Silicon Valley-based startup focused on commercializing Apache Spark, has developed MLflow, an open source toolkit for data scientists to manage the lifecycle of machine learning ...

Databricks’ cloud-based platform is powered by Apache Spark, the most popular open source technology for big data processing and machine learning workloads, and is an invention of the co ...

MLflow also gains integrations with popular machine learning libraries and frameworks such as SciKit-Learn, TensorFlow, Keras, PyTorch, H2O and Apache Spark Mllib, Databricks said.

Databricks said enterprises have resorted to using a variety of deep learning frameworks, including Tensorflow, Keras and Horovod, to help speed things up, only to find themselves lumbered with ...

LONDON--(BUSINESS WIRE)--Databricks, the leader in unified analytics and founded by the original creators of Apache Spark™, today announced the keynote lineup for the newly expanded Spark + AI ...

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