AI, Machine Learning and Data Science Announcements from Microsoft Ignite

Microsoft Ignite, Microsoft's annual developer conference, wrapped up last week and many of the big announcements focused on artificial intelligence and machine learning. The keynote presentation from Microsoft's Cloud AI lead Eric Boyd showcases the major developments, or you can check out his accompanying blog post for a written summary. In this post, I'll dive down into the details of the specific announcements and provide links to the associated recorded presentations from Ignite and other technical documents. Tools for AI developers Azure Machine Learning Service (Azure ML) adds several new capabilities. These include a new Python package that developers can use to prepare data for analysis, automate machine learning and deep learning model training, track model performance under various conditions, and automate the model selection process (see below). It supports a variety of execution environments, from local desktops to GPU clusters, and deploy trained models with containers or even high-performance FPGA chips.

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