Building Intelligent Systems: A Guide to Machine Learning Engineering - Paperback
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Teaches you how to craft experiences that collect the data needed to evaluate and grow intelligence
Describes how to design a system to take over model production from humans once the creation process has become reasonably routine
Geoff Hulten is a Machine Learning Scientist and PhD in machine learning. He has managed applied machine learning teams for over a decade, building dozens of Internet-scale Intelligent Systems that have hundreds of millions of interactions with users every day. His research has appeared in top international conferences, received thousands of citations, and won a SIGKDD Test of Time award for influential contributions to the data mining research community that have stood the test of time.
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