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A relatively impartial overview can be found in the Apache Spark Wikipedia page.Īlthough Spark is really aimed at data that can’t easily be analysed on a laptop, it is actually very easy to install and use (in standalone mode) on a laptop, and a good laptop with a fast multicore processor and plenty of RAM is fine for datasets up to a few gigabytes in size.
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The analysis can be anything from the computation of simple descriptive statistics associated with the datasets, through to rather sophisticated machine learning pipelines involving data pre-processing, transformation, nonlinear model fitting and regularisation parameter tuning (via methods such as cross-validation). It can be used for analysing huge (internet-scale) datasets distributed across large clusters of machines. PhD Studentship: Compositional approaches to Bayesian computation and probabilistic programming, Durham, UK - jiscmail.ac.uk/cgi-bin/wa-jis… 2 months agoĪpache Spark is a Scala library for analysing "big data". The Richard Boys Memorial Workshop is a one-day statistical meeting in Newcastle-upon-Tyne, in person, 20th June: .uk/rjbmemorialmee… 1 month ago RT BayesianIn: Laplace's Demon is back: /laplaces-demon… 1 month ago PhD Studentship: Compositional approaches to Bayesian computation and probabilistic programming, Durham, UK - closi… /i/web/status/1… 4 weeks ago
#HOW TO INSTALL APACHE SPARK RASPBERRY PI 3 SERIES#
RT MaximeVono: Laplace’s Demon Seminar Series on computational stats & proba ML is back next Tuesday! ? Next speakers are Éric Moulines, 3 weeks ago Stochastic Modelling for Systems Biology, twitter feed.Stochastic reaction-diffusion modelling.Write your own general-purpose monadic probabilistic programming language from scratch in 50 lines of (Scala) code.A probability monad for the bootstrap particle filter.