Panos Lampropoulos

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How to Easily Deploy and Manage Machine Learning Libraries and Tools

By Panos Lampropoulos | April 05, 2016

In recent years, the focus of big data analytics has shifted from simple statistical inference to sophisticated Machine Learning algorithms. Machine Learning (ML) can be understood as a set of analytical tools that collectively derive a model based on a set of observations.  Simple data modeling is now deemed insufficient because it is based on examining trends in data, but often ignores subtle features and can cause data analysts to miss the “big picture”.

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