Key Features
Book Description
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
Who this book is for
Table of Contents
- Introduction
- Clustering
- Regression and Classification
- Recommendations
- Visualization
- Best Practices
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