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This article mainly introduces the relevant knowledge of what the advantages of Mahout algorithm set are, the content is detailed and easy to understand, the operation is simple and fast, and it has a certain reference value. I believe you will gain something after reading this Mahout algorithm set. Let's take a look at it.

Apache Mahout is an open source project under ApacheSoftware Foundation (ASF), which provides the implementation of some scalable classical algorithms in the field of machine learning, which aims to help developers create smart applications more easily and quickly. In addition, the recent version of Mahout also adds support for Apache Hadoop, so that these algorithms can run more efficiently in the cloud computing environment.

The machine learning algorithm implemented in Mahout is shown in the following table:

The biggest advantage of Mahout is based on hadoop implementation, which converts many algorithms running on a single machine into MapReduce mode, which greatly improves the amount of data and performance that the algorithm can handle.

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