Book Image

Go Machine Learning Projects

By : Xuanyi Chew
Book Image

Go Machine Learning Projects

By: Xuanyi Chew

Overview of this book

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.
Table of Contents (12 chapters)

Functions

Functions are the main way that anything is computed in Go.

This is a function:

func addInt(a, b int) int { return a + b }

We call func addInt(a, b int) int, which is the function signature. The function signature is composed of the function name, parameters, and return type(s).

The name of the function is addInt. Note the formatting being used. The function name is in camelCase—this is the preferred casing of names in Go. The first letter of any name, when capitalized, like AddInt indicates that it should be exported. By and large in this book we shan't worry about exported or unexported names, as we will be mostly using functions. But if you are writing a package, then it matters. Exported names are available from outside a package.

Next, note that a and b are parameters, and both have the type int. We'll discuss types in a bit, but the same function can also be written as:

func addInt(a int, b int) int { return a + b }

Following that, this is what the function returns. This function addInt returns an int. This means when a function is called correctly, like so:

 z := addInt(1, 2) 

z will have a type int.

After the return type is defined, {...} denotes the body. When {...} is written in this book, it means the content of the function body is not as important for the discussion at hand. Some parts of the book may have snippets of function bodies, but without the signature func foo(...). Again those snippets are the snippets under discussion. It's expected that the reader will piece together the function from context in the book.

A Go function may return multiple results. The function signature looks something like this:

 func divUint(a, b uint) (uint, error) { ... }
func divUint(a, b uint) (retVal uint, err error) { ... }

Again, the difference is mainly in naming the return values. In the second example, the return values are named retVal and err respectively. retVal is of type uint and err is of type error.