"I've been to a different training facilities for other technologies, and this is one of the few where I've left feeling like I've learned more than I expected.
Eduardo Moreno, USA
Apache Mahout is a project of the Apache Software Foundation which is implemented on top of Apache Hadoop and uses the MapReduce
paradigm. It is also used to create implementations of scalable and distributed machine learning algorithms that are focused in the areas of
clustering, collaborative filtering and classification. Mahout contains Java libraries for common math algorithms and operations focused on
statistics and linear algebra, as well as primitive Java collections.
Mahout’s goal is to build:
Mahout supports four main data science use cases:
B.Tech, M.Tech, PHD Researchers, Other Professional Researchers.
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