You're reading from Machine Learning with Go Quick Start Guide

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Published inMay 2019

Reading LevelIntermediate

PublisherPackt

ISBN-139781838550356

Edition1st Edition

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Machine Learning

Authors (2):

Michael Bironneau

Toby Coleman

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Installing Go

Development environments are personal. Most developers will prefer one code editor or toolset over another. While we recommend the use of interactive tools such as Jupyter via gophernotes, the only prerequisite to running the code examples in this book is a working installation of Go 1.10 or higher. That is, the go command should be available and the GOPATH environment variable should be set up correctly.

To install Go, download a binary release for your system from https://golang.org/dl/. Then, refer to the one of the following subsections that matches your operating system^[2].

If you only want to use gophernotes to run Go code and you intend to use Docker as the installation method, then you can skip this section and go straight to the Running Go interactively with gophernotes section.

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Machine Learning with Go Quick Start Guide

Published in: May 2019Publisher: PacktISBN-13: 9781838550356

Authors (2)

Michael Bironneau

Michael Bironneau is an award-winning mathematician and experienced software engineer. He holds a PhD in mathematics from Loughborough University and has worked in several data science and software development roles. He is currently technical director of the energy AI technology company, Open Energi.
Read more about Michael Bironneau

Toby Coleman

Toby Coleman is an experienced data science and machine learning practitioner. Following degrees from Cambridge University and Imperial College London, he has worked on the application of data science techniques in the banking and energy sectors. Recently, he held the position of innovation director at cleantech SME Open Energi, and currently provides machine learning consultancy to start-up businesses.
Read more about Toby Coleman

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