Microsoft milestone: 20+ years applying machine learning systems to real-world problems

John Platt, a distinguished scientist at Microsoft Research, uses the Machine Learning Blog to provide an overview of more than 20 years creating machine learning systems at Microsoft and applying them to real problems.

It’s a story that begins 1992 with Bayesian networks, language modeling and speech recognition. In that decade, researchers found that many problems, including text categorization and email prioritization, could be solved through a combination of linear classification and Bayes networks. That work produced the first content-based spam detector and a number of other prototypes and products.

Head over to the Machine Learning Blog to read Platt’s post and find out about the continuing progress in the field of machine learning, including Microsoft Azure ML.

Athima Chansanchai
Microsoft News Center Staff

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