Microsoft Enhances Azure For Running Container, IoT And Machine Learning Workloads @ Forbes
"After going back and forth with the ML PaaS strategy, Microsoft finally got it right. Firstly, the service is based on the popular Jupyter Notebooks for developing ML models in Python. Microsoft built native APIs for other Azure services such as storage and compute that data scientists can mix and match with familiar modules like Numpy and Pandas. The service can be used to test the model locally before running the training job on expensive but powerful GPU clusters. Developers and data scientists can use ML framework of their choice. The service has excellent support for Sckit-learn, TensorFlow, CNTK, PyTorch among others."
Get Started with Azure Machine Learning | Microsoft Connect(); 2018 | Channel 9
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