Large Scale Analytics
PCA, Pagerank, Deep learning, VAE, TF-IDF, SVM
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Large-scale data analysis is the process of applying data analysis techniques to a large amount of data, typically in big data repositories. It is quite a challenging task allowing to employ massive amounts of data and therefore provide right intervention to the right patients at the right time.
To assess the general effect of a particular business decision onto the certain customer groups.
Spark and Hadoop ecosystems to efficiently manage and query big data repositories were used. Besides, the techniques of statistical analysis, deep learning, cluster analysis and advanced data visualization were used to get the insight into the data internal relation.
A propensity model development to describe the hidden relation between drugs and diseases on one hand and the treatment outcome on the other.
Our latest challenges where technology meets creativity
Hardware development for biosignal acquisition and algorithms for data processing and pattern recognition
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