Apache Mahout Essentials
| By: | Jayani Withanawasam |
| Publisher: | Packt Publishing |
| Print ISBN: | 9781783554997 |
| eText ISBN: | 9781783555000 |
| Edition: | 1 |
| Copyright: | 2015 |
| Format: | Reflowable |
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Details
Table of Contents
Book Description
If you are a Java developer or data scientist, haven't worked with Apache Mahout before, and want to get up to speed on implementing machine learning on big data, then this is the perfect guide for you.What you will learn
- Get started with the fundamentals of Big Data, batch, and realtime data processing with an introduction to Mahout and its applications
- Understand the key machine learning concepts behind algorithms in Apache Mahout
- Apply machine learning algorithms provided by Apache Mahout in realworld practical scenarios
- Implement and evaluate widelyused clustering, classification, and recommendation algorithms using Apache Mahout
- Discover tips and tricks to improve the accuracy and performance of your results
- Set up Apache Mahout in a production environment with Apache Hadoop
- Glance at the Spark DSL advancements in Apache Mahout 1.0
- Provide dynamic and interactive data visualizations for Apache Mahout
- Build a recommendation engine for realtime use cases and use userbased and itembased recommendation algorithms