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What is the difference between apache mahout and apache spark’s mllib?
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Answer / Vijay Pratap Yadav
Apache Mahout and Apache Spark's MLLib are both machine learning libraries, but they have different focuses and characteristics. Apache Mahout focuses on linear algebra and matrix operations, making it suitable for batch processing and iterative algorithms. On the other hand, Apache Spark's MLLib is more versatile and includes a wider range of machine learning algorithms, including classification, regression, clustering, and collaborative filtering. MLLib also supports both batch and online (streaming) processing.
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