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What is Mahout?
- Mahout is a scalable machine learning library from Apache.
- Machine learning and data mining framework for classification, clusterning and recommendation
- The apache mahout free machine learning library's goal is to built scalable machine learning tools for use on analysing big data on a distributed manner.
- For performance and efficiency, it is better to
- Understand the data set
- Understand data mining
- Understand the methodology
Apache Mahout vs others?
Many open source machine learning libraries either:
- Lack community
- Lack documentation and examples
- Lack the apache license
- Are research oriented
- Lack scalability
Distributed machine learning libraries:
- Scalable to reasonably large data sets
- Runs on Hadoop
- Map/reduce API
- In other words, scalability and fault tolerance
- Library of machine learning algorithms
1) Supervised: Using labeled training data, create function that predicts output of unseen inputs
2) Unsupervised: Using unlabeled data, create function that predicts output
3) Semi supervised: Uses labeled and unlabeled data