Building Intelligent Systems: A Guide to Machine Learning Engineering
Shows you how to plan for the various phases of an intelligent system from implementation to operation--what is required to succeed, and when it is time to progress
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
About the Author
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.