By Jayani Withanawasam
About This Book
- Apply desktop studying algorithms successfully in creation environments with Apache Mahout
- Gain higher insights into huge, complicated, and scalable datasets
- Fast-paced instructional, masking the center strategies of Apache Mahout to enforce computer studying on significant Data
Who This e-book Is For
If you're a Java developer or info scientist, have not labored with Apache Mahout ahead of, and need to wake up to hurry on imposing computing device studying on massive info, then this can be the ideal advisor for you.
What you'll Learn
- Get began with the basics of huge info, batch, and real-time info processing with an advent to Mahout and its applications
- Understand the foremost desktop studying options in the back of algorithms in Apache Mahout
- Apply computing device studying algorithms supplied by means of Apache Mahout in real-world useful scenarios
- Implement and assessment widely-used clustering, type, 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 creation setting 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 advice engine for real-time use circumstances and use user-based and item-based advice algorithms
Apache Mahout is a scalable computer studying library with algorithms for clustering, type, and suggestions. It empowers clients to investigate styles in huge, different, and complicated datasets quicker and extra scalably.
This ebook is an all-inclusive advisor to reading huge and complicated datasets utilizing Apache Mahout. It explains advanced yet very powerful desktop studying algorithms easily, on the subject of real-world functional examples.
Starting from the basic thoughts of desktop studying and Apache Mahout, this booklet publications you thru Apache Mahout's implementations of computing device studying suggestions together with category, clustering, and proposals. in this intriguing walkthrough, real-world functions, a various diversity of well known algorithms and their implementations, code examples, evaluate ideas, and top practices are given for every strategy. eventually, you'll examine vdata visualization concepts for Apache Mahout to carry your information to life.
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Extra info for Apache Mahout Essentials
Apache Mahout Essentials by Jayani Withanawasam