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Can you explain difference between apache mahout and apache spark’s mllib?
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Answer / Aneek Yadav
"Apache Mahout is an early machine learning library for Hadoop, while Apache Spark's MLLib is a more recent addition to Spark's functionalities. MLLib provides a variety of machine learning algorithms and is optimized for use in the Spark DataFrame API, making it easier to work with large datasets. In contrast, Mahout provides several algorithms, but its APIs are not as streamlined and require more manual work with MapReduce jobs."n
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