Invited speaker at the Flink Forward conference
ANB - 09/09/16

In this session Ana will present the AMIDST toolbox for analysis of large-scale data sets using probabilistic machine learning models. AMIDST runs algorithms in a distributed fashion for learning and inference in a wide spectrum of latent variable models such as Gaussian mixtures, (probabilistic) principal component analysis, Hidden Markov Models, Kalman Filters, Latent Dirichlet Allocation, etc.
Being an invited speaker at theFlink Forward conference is a great opportunity to demonstrate the toolbox to the industry and relevant user groups. The conference is a very competitive venue (from the industrial side) with people from Google, Cloudera, Netflix, data Artisans, Amazon Web Services etc.
To see the full programme, please visit:

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