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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

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Product type Paperback
Published in Nov 2018
Publisher Packt
ISBN-13 9781788993401
Length 348 pages
Edition 1st Edition
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Author (1):
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Xuanyi Chew Xuanyi Chew
Author Profile Icon Xuanyi Chew
Xuanyi Chew
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Table of Contents (12) Chapters Close

Preface 1. How to Solve All Machine Learning Problems 2. Linear Regression - House Price Prediction FREE CHAPTER 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

Decomposing CO2 Trends Using Time Series Analysis

If you are reading this book in the year 2055—assuming you're still using a year system based on the Common Era (a year is the time taken by the planet you're on to go around the sun once)—congratulations! You have survived. This book is written in the year 2018, and we as humans have much to worry about in terms of the survival of our species.

By and large, we have managed to work our way into a relatively stable peace, but the future of our species as a whole is somewhat at risk from various threats. Most of these threats have been caused by our own actions in the past. I'd like to emphasize a point here: I'm not assigning blame to anyone in the past for causing these threats. Our ancestors were busy optimizing to different goals, and the threats are typically an unforeseen/unforeseeable side...

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