By Jayani Withanawasam
About This Book
- Apply computing device studying algorithms successfully in construction environments with Apache Mahout
- Gain greater insights into huge, complicated, and scalable datasets
- Fast-paced educational, overlaying the center ideas of Apache Mahout to enforce laptop studying on significant Data
Who This publication Is For
If you're a Java developer or info scientist, have not labored with Apache Mahout sooner than, and need to wake up to hurry on enforcing laptop studying on tremendous facts, then this is often the appropriate consultant for you.
What you'll Learn
- Get begun with the basics of massive information, batch, and real-time info processing with an advent to Mahout and its applications
- Understand the main laptop studying strategies in the back of algorithms in Apache Mahout
- Apply desktop studying algorithms supplied through Apache Mahout in real-world functional scenarios
- Implement and evaluation widely-used clustering, category, and suggestion algorithms utilizing Apache Mahout
- Discover counsel and tips to increase the accuracy and function of your results
- Set up Apache Mahout in a construction surroundings with Apache Hadoop
- Glance on the Spark DSL developments in Apache Mahout 1.0
- Provide dynamic and interactive information visualizations for Apache Mahout
- Build a suggestion engine for real-time use situations and use user-based and item-based suggestion algorithms
Apache Mahout is a scalable computing device studying library with algorithms for clustering, category, and suggestions. It empowers clients to research styles in huge, various, and complicated datasets swifter and extra scalably.
This booklet is an all-inclusive advisor to examining huge and complicated datasets utilizing Apache Mahout. It explains complex yet very potent computing device studying algorithms easily, relating to real-world functional examples.
Starting from the elemental options of computing device studying and Apache Mahout, this publication publications you thru Apache Mahout's implementations of desktop studying options together with class, clustering, and proposals. in this fascinating walkthrough, real-world functions, a various diversity of renowned algorithms and their implementations, code examples, overview techniques, and most sensible practices are given for every strategy. eventually, you are going to study vdata visualization thoughts for Apache Mahout to deliver your information to life.
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Extra resources for Apache Mahout Essentials
Apache Mahout Essentials by Jayani Withanawasam