John Winn

John Winn

John Winn is a Principal Researcher at Microsoft Research, Cambridge, in the Machine Learning and Perception group. His main research interests are machine learning, machine vision and computational biology. Previously, he was a Ph.D. student in the Inference Group at the Cavendish Laboratory, supervised by Chris Bishop and David MacKay. He has also been a member of the Signal Processing Group at the Engineering Department and the Learning and Vision Group at the MIT AI Lab. 

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Books Authored by John Winn

[Early Access Version] Model-Based Machine Learning

[Early Access Version] Model-Based Machine Learning

Post date: 15 Dec 2016
This book looks at machine learning from a perspective called model-based machine learning. This viewpoint will guide you towards building successful machine learning solutions without requiring that you master the huge literature on machine learning.
Publication date: 01 Jan 2016
Document Type: Book
 
[Early Access Version] Model-Based Machine Learning

[Early Access Version] Model-Based Machine Learning

Post date: 15 Dec 2016
This book looks at machine learning from a perspective called model-based machine learning. This viewpoint will guide you towards building successful machine learning solutions without requiring that you master the huge literature on machine learning.
Publication date: 01 Jan 2016
Document Type: Book


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