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View Submission - CRONOSMDA2018
A0197
Title: Parallelisation of R Models with h2o (Part 5) Authors:  Simon Caton - National College of Ireland (Ireland) [presenting]
Abstract: Model scaling is becoming increasingly necessary as datasets increase in size, but also to facilitate core aspects of model building, model prototyping, and model selection. In this session, we will explore the application of h2o to facilitate the parallelisation of R models. The session will begin with parallelising a selection of multivariate methods to use multiple cores on participants' machines. From here, it will move towards leveraging cloud resources to further increase model scalability and correspondingly reduce runtimes. It will culminate with advice on appropriate uses of cloud and other parallel architectures for model building.