By Jayani Withanawasam
About This Book
- Apply computer studying algorithms successfully in construction environments with Apache Mahout
- Gain greater insights into huge, complicated, and scalable datasets
- Fast-paced educational, masking the center options of Apache Mahout to enforce laptop studying on huge Data
Who This e-book Is For
If you're a Java developer or information scientist, have not labored with Apache Mahout sooner than, and need to wake up to hurry on imposing desktop studying on great information, then this can be the proper advisor for you.
What you'll Learn
- Get all started with the basics of massive info, batch, and real-time facts processing with an advent to Mahout and its applications
- Understand the foremost computing device studying innovations in the back of algorithms in Apache Mahout
- Apply laptop studying algorithms supplied by means of Apache Mahout in real-world sensible scenarios
- Implement and assessment widely-used clustering, class, and suggestion algorithms utilizing Apache Mahout
- Discover suggestions and tips to enhance the accuracy and function of your results
- Set up Apache Mahout in a creation 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 circumstances 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 investigate styles in huge, varied, and complicated datasets quicker and extra scalably.
This publication is an all-inclusive advisor to reading huge and complicated datasets utilizing Apache Mahout. It explains advanced yet very potent computer studying algorithms easily, with regards to real-world functional examples.
Starting from the elemental options of computer studying and Apache Mahout, this publication courses you thru Apache Mahout's implementations of desktop studying ideas together with type, clustering, and suggestions. in this fascinating walkthrough, real-world functions, a various diversity of renowned algorithms and their implementations, code examples, review recommendations, and most sensible practices are given for every approach. eventually, you'll study vdata visualization thoughts for Apache Mahout to carry your information to life.
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Extra resources for Apache Mahout Essentials
Apache Mahout Essentials by Jayani Withanawasam