Databricks adds real-time machine learning to Lakehouse Platform
The new service delivers flexible capacity and scalable deployment models
This week Databricks announced the general availability of Databricks Model Serving, a serverless real-time inferencing service that deploys real-time machine learning (ML) models natively within the Databricks Lakehouse P... Read more
Canonical adds MLFlow integration to latest Charmed Kubeflow release
The new release enhances how enterprises collaborate on AI and machine learning innovation throughout the lifecycle of the project.
This week the Canonical, the U.K.-based publisher of Ubuntu, announced the release of Charmed Kubeflow 1.4. The new release enables data science teams to securely ... Read more
Databricks launches new tools for machine learning
The American big data company Databricks introduces a number of tools for building machine learning models. The Automated Machine Learning (AutoML) tools should enable citizen data scientists to build their own machine learning models.
The tools become part of the Unified Analytics platform of D... Read more
MLflow from Databricks is supported for programming language R
Big Data company Databricks has supported its MLflow machine learning toolkit for the R programming language. New functions have also been launched to increase its usefulness, writes Silicon Angle, among others.
MLflow was unveiled in June. The toolkit should help to standardise the process of deve... Read more