Mahout 简明教程

Mahout Tutorial

Apache Mahout 是一个主要用于生成可扩展机器学习算法的开源项目。本教程简要介绍了 Apache Mahout，并解释了如何应用它对推荐进行分类和将文档组织为更可用的群集。

Apache Mahout is an open source project that is primarily used in producing scalable machine learning algorithms. This brief tutorial provides a quick introduction to Apache Mahout and explains how it can be applied to make recommendations and organize documents in more useable clusters.

Audience

本教程专为有志于学习 Mahout 基础知识并在涉及机器学习技术的应用程序中开发推荐、分类和群集的专业人士而编写。

This tutorial has been prepared for professionals aspiring to learn the basics of Mahout and develop applications involving machine learning techniques such as recommendation, classification, and clustering.

Prerequisites

在开始本教程之前，我们假设您之前接触过 Core Java、Hadoop 和任何 Linux 操作系统版本。

Before you start proceeding with this tutorial, we assume that you have prior exposure to Core Java, Hadoop, and any of the Linux operating system flavors.