By Jayani Withanawasam
About This Book
- Apply computer studying algorithms successfully in creation environments with Apache Mahout
- Gain higher insights into huge, advanced, and scalable datasets
- Fast-paced instructional, overlaying the middle thoughts of Apache Mahout to enforce desktop studying on massive Data
Who This ebook Is For
If you're a Java developer or information scientist, have not labored with Apache Mahout ahead of, and need to wake up to hurry on enforcing computer studying on mammoth facts, then this is often the appropriate consultant for you.
What you'll Learn
- Get begun with the basics of huge facts, batch, and real-time info processing with an creation to Mahout and its applications
- Understand the major computing device studying strategies in the back of algorithms in Apache Mahout
- Apply computing device studying algorithms supplied via Apache Mahout in real-world sensible scenarios
- Implement and review widely-used clustering, category, and suggestion algorithms utilizing Apache Mahout
- Discover assistance 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 facts visualizations for Apache Mahout
- Build a advice 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, category, and proposals. It empowers clients to research styles in huge, various, and complicated datasets speedier and extra scalably.
This booklet is an all-inclusive advisor 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 elemental suggestions of computing device studying and Apache Mahout, this e-book courses you thru Apache Mahout's implementations of desktop studying recommendations together with category, clustering, and proposals. in this fascinating walkthrough, real-world purposes, a various diversity of well known algorithms and their implementations, code examples, overview innovations, and most sensible practices are given for every method. eventually, you'll research vdata visualization innovations for Apache Mahout to convey your info to life.
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