- JMS Tutorial
- JMS - Home
- JMS - Introduction
- JMS - Overview of JMS API
- JMS - Installation
- JMS - API Architecture
- JMS - Point-To-Point Message
- JMS - Publish/Subscribe Message
- JMS - Programming Model
- JMS - Message Components
- JMS - Enterprise Messaging Systems
- JMS - JMS API in Java EE Applications
- JMS Useful Resources
- JMS - Quick Guide
- JMS - Useful Resources
- JMS - Discussion
JMS Tutorial
Apache JMS is an open source project that is primarily used in producing scalable machine learning algorithms. This brief tutorial provides a quick introduction to Apache JMS and explains how it can be applied to make recommendations and organize documents in more useable clusters.
Audience
This tutorial has been prepared for professionals aspiring to learn the basics of JMS and develop applications involving machine learning techniques such as recommendation, classification, and clustering.
Prerequisites
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.
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