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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
Languages
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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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Toc

Table of Contents (12) Chapters Close

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

Other Books You May Enjoy

If you enjoyed this book, you may be interested in these other books by Packt:

Machine Learning With Go
Daniel Whitenack

ISBN: 978-1-78588-210-4

  • Learn about data gathering, organization, parsing, and cleaning
  • Explore matrices, linear algebra, statistics, and probability
  • See how to evaluate and validate models
  • Look at regression, classification, clustering
  • Learn about neural networks and deep learning
  • Utilize times series models and anomaly detection
  • Optimize machine learning workflow techniques

Hands-On Go Programming
Tarik Guney

ISBN: 978-1-78953-175-6

  • Manipulate string values and escape special characters
  • Work with dates, times, maps, and arrays
  • Handle errors and perform logging
  • Explore files and directories
  • Handle HTTP requests and responses
  • Perform CRUD operations on a relational database
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