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Machine Learning with Go Quick Start Guide

You're reading from Machine Learning with Go Quick Start Guide Hands-on techniques for building supervised and unsupervised machine learning workflows

Product type Paperback

Published in May 2019

Publisher Packt

ISBN-13 9781838550356

Length 168 pages

Edition 1st Edition

Languages

Go

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 FREE CHAPTER

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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Further readings

http://yann.lecun.com/exdb/lenet/. Retrieved March 24, 2019.
https://blogs.nvidia.com/blog/2016/05/06/self-driving-cars-3/. Retrieved March 24, 2019.
https://github.com/zalandoresearch/fashion-mnist. Retrieved March 24, 2019.
http://colah.github.io/. Retrieved May 15, 2019.
https://karpathy.github.io/. Retrieved May 15, 2019.
http://www.dcc.fc.up.pt/~ltorgo/Regression/cal_housing.html. Retrieved March 24, 2019.

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Authors (2)

Michael Bironneau

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

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.

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