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Splash: Efficient Stochastic Learning on Clusters

Splash is a general framework for parallelizing stochastic learning algorithms (SGD, Gibbs sampling, etc.) on multi-node clusters. It consists of a … Continue reading →

Tags: Big Data, distributed machine learning, spark, stochastic algorithm


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