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.

Azure Machine Learning Studio offers multiple ways to use your data to create ML models. Using Azure ML Designer to create a model. The Designer is the quickest way to start with custom machine ...

Azure Machine Learning automates machine learning to make it easier to build, train and deploy models. The service is generally available now, with pricing to go into effect February 1, 2019. BT ...

Specifically, Azure Machine Learning — which already boasted support for AI frameworks such as Facebook’s PyTorch, Google’s TensorFlow, and scikit-learn, in addition to automated ...

During its Ignite 2020 conference, which kicked off virtually this morning, Microsoft announced updates to Azure Cognitive Services and Azure Machine Learning aimed at streamlining business ...

An Azure Machine Learning capability called interpretability explains what model parameters were most important in any given case of suspected fraud. Photo courtesy of SAS. Editor’s note: A previous ...

Similar to software apps, ML apps need to be secure as well. If a ML model is designed to analyze sensitive information, malicious hackers could use attacks to access this information. Azure ML allows ...

The Machine Learning Workbench is a desktop client for Windows and Mac (and yes, in this brave new world, Mac apps from Microsoft really aren’t a big deal anymore) that, in Microsoft’s words ...

Microsoft Build goes gaga for AI: Azure Machine Learning and beyond This year's developer event delivers. Written by Andrew Brust, Contributor May 7, 2018 at 10:25 a.m. PT ...

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 ...