By Jayani Withanawasam
About This Book
- Apply desktop studying algorithms successfully in creation environments with Apache Mahout
- Gain larger insights into huge, advanced, and scalable datasets
- Fast-paced educational, masking the middle options of Apache Mahout to enforce computer studying on sizeable Data
Who This booklet 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 enforcing computer studying on massive information, then this can be the ideal advisor for you.
What you'll Learn
- Get all started with the basics of huge information, batch, and real-time info processing with an creation to Mahout and its applications
- Understand the most important desktop studying ideas 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 evaluation widely-used clustering, class, and advice algorithms utilizing Apache Mahout
- Discover information and tips to enhance the accuracy and function of your results
- Set up Apache Mahout in a construction atmosphere 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 laptop studying library with algorithms for clustering, class, and proposals. It empowers clients to investigate styles in huge, assorted, and intricate datasets quicker and extra scalably.
This booklet is an all-inclusive advisor to reading huge and intricate datasets utilizing Apache Mahout. It explains complex yet very potent laptop studying algorithms easily, relating to real-world functional examples.
Starting from the elemental recommendations of computer studying and Apache Mahout, this e-book courses you thru Apache Mahout's implementations of desktop studying options together with type, clustering, and suggestions. in this interesting walkthrough, real-world functions, a various diversity of well known algorithms and their implementations, code examples, evaluate recommendations, and top practices are given for every approach. eventually, you are going to study vdata visualization concepts for Apache Mahout to carry your information to life.
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Additional resources for Apache Mahout Essentials
Apache Mahout Essentials by Jayani Withanawasam