MLbase: A Distributed Machine-Learning System

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Provided by: Creative Commons
Topic: Big Data
Format: PDF
Machine Learning (ML) and statistical techniques are key to transforming big data into actionable knowledge. In spite of the modern primacy of data, the complexity of existing ML algorithms is often overwhelming-many users do not understand the trade-offs and challenges of parameterizing and choosing between different learning techniques. Furthermore, existing scalable systems that support machine learning are typically not accessible to ML researchers' with-out a strong background in distributed systems and low-level primitives. In this paper, the authors present their vision for MLbase, a novel system harnessing the power of machine learning for both end-users and ML researchers.
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