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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

Clean Up Your Personal Twitter Timeline by Clustering Tweets

Here's a little bit of gossip for you: The original project for this title had to do with detecting foreign influence on US elections in social media. At about the same time, I was also applying for a visa to the United States, to give a series of talks. It later transpired that I hadn't needed the visa after all; ESTA covered all the things I had wanted to do in the United States. But as I was preparing for the visa, an attorney gave me a very stern talking-to about writing a book on the politics of the United States. The general advice is this—if I don't want trouble with US Customs and Border Patrol, I should not write or say anything on social media about American politics, and especially not write a chapter of a book on it. So, I had to hastily rewrite this chapter. The majority of methods...

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