Apache Mahout Defined

Apache Mahout is a powerful, scalable machine-learning library that runs on top of Hadoop MapReduce. 

Mahout is supported by its 3 pillars:

• Recommender engines: Recommenders can be classified as being user based or item based and can be used to attract users and suggest products by mining user behaviour.
• Clustering: Clustering groups objects of a similar nature in one place. 
• Classification: Classification techniques decide whether a thing deserves to be a part of some type or not. 

Key features of Mahout include:

• Proven Algorithms– Mahout uses a set of algorithms to try to solve common problems encountered in many industries. 
• Scalable to Large Data Sets – Designed to distribute across large data center clusters that run Apache Hadoop and apply the map/reduce paradigm. 
• Active & Open Community – Mahout has its own community forum allowing for discussions between users to address issues. 

Companies using Mahout include:

• Yahoo Mail
• Linked In
• NewsCred

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