English | 2019 | ISBN: 1838550356 | 168 pages | True Retail (EPUB) | 2.99 MB
Machine Learning with Go Quick Start Guide: Hands-on techniques for building supervised and unsupervised machine learning workflows
This quick start guide will bring the readers to a basic level of understanding when it comes to the Machine Learning (ML) development lifecycle, will introduce Go ML libraries and then will exemplify common ML methods such as Classification, Regression, and Clustering
Key Features
Your handy guide to building machine learning workflows in Go for real-world scenarios
Build predictive models using the popular supervised and unsupervised machine learning techniques
Learn all about deployment strats and take your ML application from prototype to production ready
Book Description
Machine learning is an essential part of today's data-driven world and is extensively used across industries, including financial forecasting, robotics, and web technology.