Introduction to Machine Learning with Apache Ignite

In a previous article, we discussed the Apache Ignite Machine Learning Grid. At that time, a beta release was available. Subsequently, in version 2.4, Machine Learning became generally Available. Since the 2.4 release, more improvements and developments have been added, including support for Partitioned-Based Datasets and Genetic Algorithms. Many of the Machine Learning examples that are provided with Apache Ignite can work standalone, making it very easy to get started. However, later in this series of articles, we will perform some analysis on several freely available datasets using some of the algorithms that are supported by Ignite.

Introduction

In this first article, we will begin with an overview and introduction to the Machine Learning Grid, graphically shown in Figure 1.

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