Intel-optimized ML libraries on Azure Databricks Databricks Runtime for Machine Learning includes the stock versions of scikit-learn and TensorFlow.

Azure Machine Learning supports five environments for model development: Azure Notebooks, the Data Science Virtual Machine (DSVM), Jupyter Notebooks, Visual Studio Code, and Azure Databricks.

Microsoft is joining the Databricks-backed MLflow project for machine learning experiment management. Already present in Azure Databricks, a fully managed version of MLflow will be added to Azure ...

Azure Databricks Designed in collaboration with the founders of Apache Spark, the preview of Azure Databricks is a fast, easy and collaborative Apache Spark-based analytics platform that delivers ...

Databricks, the leader in unified data analytics, today announced an accelerated path for data teams to unify data management, business intelligence ( ...

Using Azure Databricks, customers can take in data ingested through other services, prepare it, and process it using machine learning algorithms and other techniques.

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 ...

The Apache Spark-based platform, which launched to general availability on AWS in 2015, then GA'd on Microsoft Azure in 2018, is now 3 for 3 in major cloud platforms.

Databricks is a Big Data company that offers a commercial version of Apache Spark on mainstream public cloud platforms including AWS and Azure. Its Unified Analytics product brings together best ...

Microsoft announces Azure Databricks powered by Apache® Spark, new AI, IoT and machine learning tools for developers November 15, 2017 | Microsoft News Center New tools to help increase developer ...