By Jayani Withanawasam
About This Book
- Apply computer studying algorithms successfully in construction environments with Apache Mahout
- Gain larger insights into huge, advanced, and scalable datasets
- Fast-paced instructional, protecting the center strategies of Apache Mahout to enforce computer studying on colossal Data
Who This e-book Is For
If you're a Java developer or facts scientist, have not labored with Apache Mahout prior to, and need to wake up to hurry on enforcing computer studying on significant info, then this is often the correct advisor for you.
What you are going to Learn
- Get began with the basics of massive information, batch, and real-time info processing with an advent to Mahout and its applications
- Understand the major desktop studying strategies at the back of algorithms in Apache Mahout
- Apply laptop studying algorithms supplied by way of Apache Mahout in real-world useful scenarios
- Implement and assessment widely-used clustering, category, and suggestion algorithms utilizing Apache Mahout
- Discover tips 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 facts visualizations for Apache Mahout
- Build a suggestion engine for real-time use instances and use user-based and item-based advice algorithms
Apache Mahout is a scalable computing device studying library with algorithms for clustering, type, and proposals. It empowers clients to research styles in huge, various, and complicated datasets speedier and extra scalably.
This ebook is an all-inclusive advisor to reading huge and complicated datasets utilizing Apache Mahout. It explains complex yet very potent computer studying algorithms easily, on the subject of real-world sensible examples.
Starting from the basic thoughts of computing device studying and Apache Mahout, this booklet publications you thru Apache Mahout's implementations of computing device studying suggestions together with type, clustering, and proposals. in this fascinating walkthrough, real-world purposes, a various diversity of well known algorithms and their implementations, code examples, evaluate concepts, and most sensible practices are given for every approach. ultimately, you are going to study vdata visualization suggestions for Apache Mahout to deliver your information to life.
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Extra info for Apache Mahout Essentials
Apache Mahout Essentials by Jayani Withanawasam