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
Publication
2018
Pages
339
Format
Epub
Publisher
Apress
Excerpt
Collection
Professional and Applied Computing
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