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Go Machine Learning Projects

You're reading from Go Machine Learning Projects Eight projects demonstrating end-to-end machine learning and predictive analytics applications in Go

Product type Paperback

Published in Nov 2018

Publisher Packt

ISBN-13 9781788993401

Length 348 pages

Edition 1st Edition

Languages

Go

Tools

OpenCV

Concepts

Machine Learning

Author (1):

Xuanyi Chew

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Table of Contents (12) Chapters

Preface

1. How to Solve All Machine Learning Problems FREE CHAPTER

2. Linear Regression - House Price Prediction

3. Classification - Spam Email Detection

4. Decomposing CO2 Trends Using Time Series Analysis

5. Clean Up Your Personal Twitter Timeline by Clustering Tweets

6. Neural Networks - MNIST Handwriting Recognition

7. Convolutional Neural Networks - MNIST Handwriting Recognition

8. Basic Facial Detection

9. Hot Dog or Not Hot Dog - Using External Services

10. What's Next?

11. Other Books You May Enjoy

Leave a review - let other readers know what you think

The results

You're probably curious about the results. Here are some of them: my face is classified as HotDog with 57% confidence. In fact, using my phone and an image of several other people, I have found that some people are more HotDog-like than others as shown in the following images:

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Authors (1)

Xuanyi Chew

Xuanyi Chew

Xuanyi Chew is the Chief Data Scientist of a Sydney-based logistics startup. He is the primary author of Gorgonia, an open source deep learning package for Go. He's been practicing machine learning for the past 12 years, applying them typically to help startups. His goal in life is to make an artificial general intelligence a reality. He enjoys learning new things.

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