Machine Learning with Go Quick Start Guide

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Publisher ‏ : ‎ Packt Publishing (May 31, 2019)
Language ‏ : ‎ English
Paperback ‏ : ‎ 168 pages
ISBN-10 ‏ : ‎ 1838550356
ISBN-13 ‏ : ‎ 978-1838550356
Item Weight ‏ : ‎ 10.6 ounces
Dimensions ‏ : ‎ 9.25 x 7.52 x 0.36 inches

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Machine Learning with Go Quick Start Guide

Are you interested in learning how to harness the power of machine learning using the Go programming language? Look no further! In this quick start guide, we will cover the basics of machine learning with Go and provide you with the resources you need to get started.

1. Setting up your environment:
First, you’ll need to have Go installed on your machine. You can download and install Go from the official website: https://golang.org/

Next, you’ll want to install any necessary machine learning libraries. Some popular ones for Go include Gorgonia, Golearn, and Goml.

2. Understanding the basics of machine learning:
Machine learning is a branch of artificial intelligence that involves the use of algorithms to analyze and interpret patterns in data. In Go, you can use these algorithms to build models that can make predictions or classifications based on input data.

3. Building your first machine learning model:
To build your first machine learning model in Go, you’ll want to start by importing the necessary libraries and loading your dataset. From there, you can choose an algorithm to train your model and evaluate its performance.

4. Resources for further learning:
If you’re looking to dive deeper into machine learning with Go, there are plenty of resources available online. Some recommended resources include the Go Machine Learning GitHub repository, the GopherData blog, and the Go Wiki.

By following this quick start guide, you’ll be well on your way to mastering machine learning with Go. Happy coding!
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