Python is the language of choice when it comes to integrating analytical components. We will present a series of concepts and walkthroughs that illustrate how easy scientific computing is in Python, from machine learning and time series to spatial relationships and network analysis.
Roy Hyunjin Han is a Computational Engineer at CrossCompute, working on mathematical models to help cities run effectively. Previously, he worked with the Modi Research Group at the Earth Institute of Columbia University to develop an electricity infrastructure planning system currently used by countries in Africa and a remote sensing system that finds buildings in satellite images using convolutional neural networks. He holds a M.S. in machine learning and a B.S. in mathematics and neuroscience.
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