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Go Machine Learning Projects Xuanyi Chew

Go Machine Learning Projects By Xuanyi Chew

Go Machine Learning Projects by Xuanyi Chew


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Summary

Go is a highly preferred language for machine learning. The code is close to how it's actually executed in the machine. Over the course of this book, you will learn how to express complex ideas found in machine learning literature and implement them. You will also learn how to structure problems to solve them using machine learning with Go.

Go Machine Learning Projects Summary

Go Machine Learning Projects: Eight projects demonstrating end-to-end machine learning and predictive analytics applications in Go by Xuanyi Chew

Work through exciting projects to explore the capabilities of Go and Machine Learning

Key Features
  • Explore ML tasks and Go's machine learning ecosystem
  • Implement clustering, regression, classification, and neural networks with Go
  • Get to grips with libraries such as Gorgonia, Gonum, and GoCv for training models in Go
Book Description

Go is the perfect language for machine learning; it helps to clearly describe complex algorithms, and also helps developers to understand how to run efficient optimized code. This book will teach you how to implement machine learning in Go to make programs that are easy to deploy and code that is not only easy to understand and debug, but also to have its performance measured.

The book begins by guiding you through setting up your machine learning environment with Go libraries and capabilities. You will then plunge into regression analysis of a real-life house pricing dataset and build a classification model in Go to classify emails as spam or ham. Using Gonum, Gorgonia, and STL, you will explore time series analysis along with decomposition and clean up your personal Twitter timeline by clustering tweets. In addition to this, you will learn how to recognize handwriting using neural networks and convolutional neural networks. Lastly, you'll learn how to choose the most appropriate machine learning algorithms to use for your projects with the help of a facial detection project.

By the end of this book, you will have developed a solid machine learning mindset, a strong hold on the powerful Go toolkit, and a sound understanding of the practical implementations of machine learning algorithms in real-world projects.

What you will learn
  • Set up a machine learning environment with Go libraries
  • Use Gonum to perform regression and classification
  • Explore time series models and decompose trends with Go libraries
  • Clean up your Twitter timeline by clustering tweets
  • Learn to use external services for your machine learning needs
  • Recognize handwriting using neural networks and CNN with Gorgonia
  • Implement facial recognition using GoCV and OpenCV
Who this book is for

If you're a machine learning engineer, data science professional, or Go programmer who wants to implement machine learning in your real-world projects and make smarter applications easily, this book is for you. Some coding experience in Golang and knowledge of basic machine learning concepts will help you in understanding the concepts covered in this book.

About 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.

Table of Contents

Table of Contents
  1. How to Solve All Machine Learning Problems
  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?

Additional information

NLS9781788993401
9781788993401
1788993403
Go Machine Learning Projects: Eight projects demonstrating end-to-end machine learning and predictive analytics applications in Go by Xuanyi Chew
New
Paperback
Packt Publishing Limited
2018-11-30
348
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
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