By Jayani Withanawasam
About This Book
- Apply laptop studying algorithms successfully in creation environments with Apache Mahout
- Gain greater insights into huge, advanced, and scalable datasets
- Fast-paced educational, protecting the middle options of Apache Mahout to enforce computing device studying on vast Data
Who This booklet Is For
If you're a Java developer or information scientist, have not labored with Apache Mahout prior to, and wish to wake up to hurry on imposing computer studying on enormous information, then this can be the correct consultant for you.
What you are going to Learn
- Get all started with the basics of massive info, batch, and real-time info processing with an creation to Mahout and its applications
- Understand the most important desktop studying ideas at 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, class, and advice algorithms utilizing Apache Mahout
- Discover information and tips to increase 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 facts visualizations for Apache Mahout
- Build a suggestion engine for real-time use situations and use user-based and item-based advice algorithms
Apache Mahout is a scalable computing device studying library with algorithms for clustering, category, and suggestions. It empowers clients to investigate styles in huge, various, and intricate datasets swifter and extra scalably.
This e-book is an all-inclusive advisor to examining huge and intricate datasets utilizing Apache Mahout. It explains complex yet very potent computer studying algorithms easily, relating to real-world useful examples.
Starting from the elemental strategies of computing device studying and Apache Mahout, this ebook publications you thru Apache Mahout's implementations of laptop studying recommendations together with category, clustering, and proposals. in this interesting walkthrough, real-world functions, a various diversity of well known algorithms and their implementations, code examples, overview concepts, and most sensible practices are given for every process. ultimately, you are going to research vdata visualization strategies for Apache Mahout to deliver your information to life.
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Additional info for Apache Mahout Essentials
Apache Mahout Essentials by Jayani Withanawasam