Azure’s new machine learning features embrace Python

| September 25, 2018

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Microsoft ahas several new additions to its Azure ML offering for machine learning, including better integration with Python and automated self-tuning features for faster model development. Python is a staple language for machine learning, thanks to its low barrier to entry and its wide range of machine learning libraries and support tools. Azure’s offering with Python is a new SDK that lets Azure ML connect to a developer’s existing Python environment. This SDK comes with the azureml-sdk package that can be installed using Python’s pip package manager. Most Python environments, from a generic Python install to data-science-specific distributions like Anaconda Python or a Jupyter notebook, can connect to Azure ML this way. Tools offered through the SDK include data preparation, logging the results of experiment runs, saving and retrieving experiment data from Azure blob storage, automatically distributing model training across multiple nodes, and ways to automatically create various execution environments for jobs, such as remote VMs, Docker containers, and Anaconda environments.

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Clusit is the Italian Association for Information Security, a nonprofit organization devoted to promoting every aspect of information security, including awareness among IT specialists and the general public, and government advisorship and lobbying for causes relevant to information security. Members of Clusit are security customer companies, security providers, security professional and interested individuals.

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