They will also learn to use Azure Databricks to explore, prepare, and model data; and integrate Databricks machine learning processes with Azure Machine Learning.

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

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 ...

“Databricks powers our machine learning and business intelligence across multiple business functions, from car inventory management, to price prediction and technical operations, by using ...

Amazon, Microsoft, Databricks, Google, HPE, and IBM provide tools for solving a range of machine learning problems, though some toolkits are much more complete than others.

Integration with Azure Machine Learning: Building upon the open source MLflow collaboration between Databricks and Microsoft announced in April, this integration allows customers access to the ...

Azure SQL Database Machine Learning services preview Support for R models inside SQL Database makes it seamless for data scientists to develop and train models in Azure Machine Learning and deploy ...

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 ...

Big-data company Databricks Inc. today updated its MLflow machine learning toolkit with support for the R programming language and other new features aimed at boosting its utility.

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 ...