Attackers recently hijacked powerful machine-learning clusters inside Microsoft’s Azure cloud-computing service so that they could mine cryptocurrency at the expense of the customers who rented ...

All of the major cloud services now offer machine learning and deep learning development environments. On AWS, that’s primarily Amazon SageMaker, which I reviewed in May 2018.On the Google Cloud ...

Yes, there’s the option of building your own specific models using Azure’s Machine Learning studio, working with tools like PyTorch and TensorFlow to design and train models from scratch.

To spot faults quickly even if they take a month to show up, Azure feeds signals into a machine learning system: in the future, you will be able to do that for your own cloud workloads.

At its Build developer conference today, Microsoft announced a new set of Azure services (in preview) that businesses can now run on virtually any CNCF-conformant Kubernetes cluster with the help ...

Additionally, users can leverage Azure DevOps or GitHub Actions to schedule, manage and automate their machine learning pipelines and perform advanced data-drift analysis to improve a model's ...

Head-to-head comparison: Azure Machine Learning vs. IBM Watson Model training and development. Azure ML offers more features for data preparation, transformation, normalization and model training ...