Automated ML is based on a breakthrough from Microsoft’s Research Division. The approach combines ideas from collaborative filtering and Bayesian optimization to search an enormous space of possible machine learning pipelines intelligently and efficiently, serving essentially as a recommender system for machine learning pipelines. Similar to how streaming services recommend your next movie, automated ML recommends machine learning pipelines for datasets.
Just as important, automated ML is designed to not have to see or look at the customer data and accomplishes all this while preserving your and your customer’s privacy. Customer data and execution of the machine learning pipeline both live in the customer’s cloud subscription (or their local machine), which they have complete control of. Only the results of each pipeline run are sent back to the automated ML service, which then makes an intelligent, probabilistic choice of which pipelines should be tried next.
Lu Zhang, Henry Zeng, and Xiao Zhang explain how Microsoft is committed to democratizing AI through its products. By making automated ML available through the Azure Machine Learning service, Microsoft empowers your data scientists with a powerful productivity tool. The company is working on making automated ML accessible through PowerBI so that business analysts and BI professionals can take advantage of machine learning and incorporate it into other product channels to bring the power of automated ML to everyone. Focusing on the data science and artificial intelligence theme, Lu, Henry, and Xiao provide an overview of automated machine learning, key customer use cases, how it works, and how you can get started.
Henry Zeng is a principal program manager on the AI platform team at Microsoft, where he works with the engineering team, partners, and customers to ensure AzureML is the best ML platform in the cloud. He’s been in the AI and data area for more than 14 years in areas such as database, big data, machine learning, and deep learning. Previously, he was the lead AI solution architect at Microsoft China, where he worked with partners and customers to land AI solutions in manufactory, retail, finance, education, and public service. Henry holds an MS in computer science from Wuhan University.
Lu Zhang is a senior program manager from the AI platform team in the Microsoft Cloud and AI Group. Lu has been working in big data and AI for the past seven years as the product manager of the trustworthy data and data catalog services empowering tens of thousands users in Microsoft to make data-driven decisions. Her current focus is to build the best-in-class ML platform in Azure. Lu holds an MS in computer science from Tsinghua University.
Harper Zhang is a program manager from the Microsoft AI platform team. She works with customers, engineers, and partners to make Azure Machine Learning the best ML choice in the cloud. She holds an MS in communication engineering from Beijing University of Posts and Communications.
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