|Machine Learning With Go (Packt Publishing)|
|Wednesday, 15 November 2017|
The subtitle of this book is "Implement Regression, Classification, Clustering, Time-series Models, Neural Networks, and More using the Go Programming Language". Author Daniel Whitenack introduces the technical aspects of building predictive models in Go, but it also helps the reader understand how machine learning workflows are being applied in real-world scenarios.
The book shows how to gather, organize, and parse real-work data from a variety of sources. You're then guided through developing a solid statistical toolkit for gaining information about the content of a dataset. The book also covers implementing essential machine learning techniques (regression, classification, clustering, and so on) with the relevant Go packages.
Author: Daniel Whitenack
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