Go is the perfect language for machine learning. Its simple syntax helps to clearly describe complex algorithms, but does not obscure developers from understand how to run efficient optimized code. This book will teach you how to implement machine learning in Go to make programs that are easy to deploy and code that is not only easy to understand and debug, but that can also have its performance measured.
The book begins by guiding you in setting up your machine learning environment with Go libraries and capabilities. You will then plunge into regression analysis of a real-life house pricing dataset and build a classification model in Go to classify emails as spam or ham. Using Gonum, Gorgonia, and STL, you will explore time series ...
