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Machine Learning with Go Quick Start Guide

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

Product type Book

Published in May 2019

Publisher Packt

ISBN-13 9781838550356

Pages 168 pages

Edition 1st Edition

Languages

Concepts

Machine Learning

Authors (2):

Michael Bironneau

Toby Coleman

View More author details

Table of Contents (9) Chapters

Preface

1. Introducing Machine Learning with Go

2. Setting Up the Development Environment

3. Supervised Learning

4. Unsupervised Learning

5. Using Pretrained Models

6. Deploying Machine Learning Applications

7. Conclusion - Successful ML Projects

8. Other Books You May Enjoy

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Running Go interactively with gophernotes

Project Jupyter is a not-for-profit organization that was created to develop language-agnostic interactive computing for data science^[3]. The result is a mature, well-supported environment to explore, visualize, and process data that can significantly accelerate development by providing immediate feedback and integrations with plotting libraries such as gonum/plot.

While its first iteration, called iPython, only supported Python-based handlers (called kernels) at first, the latest version of Jupyter has over 50 kernels that support dozens of languages, including three kernels for the Go language^[4]. GitHub has support for rendering Jupyter files (called notebooks)^[5], and there are various specialized hubs for sharing notebooks online, including Google Research Colabs^[6], Jupyter's community hub called NBViewer^[7], and its enterprise...

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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.

See other products by 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.

See other products by Toby Coleman

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