By Jayani Withanawasam
About This Book
- Apply laptop studying algorithms successfully in creation environments with Apache Mahout
- Gain higher insights into huge, advanced, and scalable datasets
- Fast-paced instructional, protecting the center options of Apache Mahout to enforce computing device studying on huge Data
Who This ebook Is For
If you're a Java developer or info scientist, have not labored with Apache Mahout sooner than, and wish to wake up to hurry on imposing laptop studying on enormous info, then this can be the appropriate consultant for you.
What you'll Learn
- Get began with the basics of massive information, batch, and real-time facts processing with an creation to Mahout and its applications
- Understand the most important laptop studying options in the back of algorithms in Apache Mahout
- Apply laptop studying algorithms supplied by way of Apache Mahout in real-world sensible scenarios
- Implement and overview widely-used clustering, category, and advice algorithms utilizing Apache Mahout
- Discover advice 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 info visualizations for Apache Mahout
- Build a suggestion engine for real-time use instances and use user-based and item-based suggestion algorithms
Apache Mahout is a scalable computer studying library with algorithms for clustering, type, and suggestions. It empowers clients to research styles in huge, varied, and intricate datasets swifter and extra scalably.
This publication is an all-inclusive consultant to examining huge and intricate datasets utilizing Apache Mahout. It explains advanced yet very powerful computer studying algorithms easily, relating to real-world useful examples.
Starting from the basic suggestions of desktop studying and Apache Mahout, this ebook publications you thru Apache Mahout's implementations of computing device studying options together with class, clustering, and proposals. in this interesting walkthrough, real-world functions, a various variety of renowned algorithms and their implementations, code examples, overview suggestions, and most sensible practices are given for every procedure. eventually, you are going to research vdata visualization suggestions for Apache Mahout to deliver your info to life.
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Extra info for Apache Mahout Essentials
Apache Mahout Essentials by Jayani Withanawasam