Book Image

Machine Learning with Go Quick Start Guide

By : Michael Bironneau, Toby Coleman
Book Image

Machine Learning with Go Quick Start Guide

By: Michael Bironneau, Toby Coleman

Overview of this book

Machine learning is an essential part of today's data-driven world and is extensively used across industries, including financial forecasting, robotics, and web technology. This book will teach you how to efficiently develop machine learning applications in Go. The book starts with an introduction to machine learning and its development process, explaining the types of problems that it aims to solve and the solutions it offers. It then covers setting up a frictionless Go development environment, including running Go interactively with Jupyter notebooks. Finally, common data processing techniques are introduced. The book then teaches the reader about supervised and unsupervised learning techniques through worked examples that include the implementation of evaluation metrics. These worked examples make use of the prominent open-source libraries GoML and Gonum. The book also teaches readers how to load a pre-trained model and use it to make predictions. It then moves on to the operational side of running machine learning applications: deployment, Continuous Integration, and helpful advice for effective logging and monitoring. At the end of the book, readers will learn how to set up a machine learning project for success, formulating realistic success criteria and accurately translating business requirements into technical ones.
Table of Contents (9 chapters)

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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