Get started with golearn: Machine Learning with Go

Overview

On this article, I’ll try golearn package on Golang.
These days, typical environment sets for data science and machine learning are Python, R, R-studio and Jupyter, although it depends on the purposes and phases. When I personally do something, I always use Python and Jupyter. But of course other programming languages have machine learning libraries and those are sometimes used.
Here, I’ll try golearn package, which is the package for machine learning.
This is the official page.

• GoLearn

As a first step, through kNN algorithms, I’ll follow the basic step of that.

Stats package on Golang

When we deal with data on the meaning of data analysis, data science, and machine learning, Go’s statistics package does a good job.

On the area of data science and machine learning, people usually use Python and R. On the internet, we can see just a few amount of information about data science with Go.

So I’ll leave concise memo about that.
Here I’ll introduce how to use basic statistics package.

Perceptron by Golang from scratch

Overview

I tried perceptron, almost “Hello world” in machine learning, by Golang.
Go has matrix calculation library like numpy on Python. But this time I just used default types.

Usually on machine leaning, R and Python are frequently used and almost all from-scratch code of machine learning is shown by those or by C++. So I just tried this “Hello world”.

How to use gonum/matrix (Golang package)

When I started to learn about Golang, the first obstacle to use that for machine learning was matrix data manipulation. On Python, you can use numpy, pandas. On Go, on some machine learning package uses gonum/matrix. So I just checked how to use.

Overview

I make a summary about gonum/matrix’s basic usage.