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What is the distinction between apache driver and apache spark’s mllib?
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Answer / Ateev Sharma
Apache Driver is a distributed computing library developed by Apache Mahout, focusing on matrix operations and linear algebra. It provides a foundation for machine learning algorithms. In contrast, Apache Spark's MLLib is a machine learning library built upon Apache Spark, offering a wider range of algorithms and supporting both batch and online (streaming) processing.
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What is the difference between apache mahout and prediction.io ?
Mention some use cases of apache mahout?
What is mahout hadoop?
Can you explain clustering in mahout?
How is it completely different from doing machine learning in r or sas?
What will apache driver do?
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What is the roadmap for apache mahout version 1.0?
How is it different from doing machine learning in r or sas?
What is apache mahout?
Can you explain how it is different from doing machine learning in r or sas?
Can you briefly explain the apache mahout?
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