Category: Deployment, Business, Security, Data, encryption, automation, machine-learning, artificial-intelligence

Microsoft Azure Machine Learning empowers developers and data scientists with enterprise-grade capabilities to accelerate the ML lifecycle. At Microsoft Build 2020, we announced several advances to Azure Machine Learning across the following areas: ML for all skills, Enterprise grade MLOps, and responsible ML.

Data scientists and developers can now access an enhanced notebook editor directly inside Azure Machine Learning studio.

New reinforcement learning support in Azure Machine Learning enables data scientists to train agents who interact with the real world, such as control systems and game characters.

The new responsible ML capabilities in Azure Machine Learning and our open-source toolkits empower data scientists and developers to understand ML models, protect people and their data, and controlthe end-to-end ML process.

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