Much of the focus in data science tends to be on using traditional statistical techniques in increasingly automated ways.
In this talk, we'll explore how this automation can be used to implement much more sophisticated computation to data in order to achieve deeper insights and derive more value from it. Computational techniques originally developed for science and engineering can often be leveraged, in sometimes surprising ways, to data challenges.
During the talk, you'll see how to easily integrate modern data science techniques, from machine learning to image and signal processing, to get more agile insights from your data.