Machine learning models are mathematical representations of real-world processes that are used to make predictions, and are created by providing training data for an algorithm to learn from.

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 had ...

The testing found that the latter delivers 1.92x, 2.12x, and 2.24x inference performance on Databricks Runtime for Machine Learning with Standard_F32s_v2, Standard_F64s_v2, and Standard_F72s_v2 ...

How much math knowledge do you need for machine learning and deep learning? Some people say not much. Others say a lot. Both are correct, depending on what you want to achieve.

Amazon, Microsoft, Databricks, Google, HPE, and IBM machine learning toolkits run the gamut in breadth, depth, and ease ...

The partnership between Snowflake and Databricks is a welcome sign. It brings best of both the worlds through the combination of an enterprise data warehouse and predictive analytics platforms.

The Databricks MLflow: open source machine learning platform is now released as an alpha. It is built with an open interface and so designed to work with any ML library, algorithm, deployment tool ...

Databricks Inc. said it's wedding Big Data with deep learning in the latest update to its Apache Spark-based platform. The new support for deep learning -- a variant of machine learning -- means data ...

This 30-session course covers a wide variety of topics in machine learning and statistical modeling. The primary goal is to provide participants with the tools and principles needed to solve data ...