Michalis Xyntarakis
I am an Assistant Professor of Practice at Rutgers where I teach data science related topics. I am also a principal at a private consulting company, Cambridge Systematics, where I build data products based on location-based services data using Apache Spark. I have given talks at conferences before but never at a python conference. I have attended several PyCon conferences since 2009 (I believe) and few pyData conferences in NYC.
Sessions
High-dimensional visualization techniques are machine learning methods that project your dataset with all its variables into a two-dimensional map that will help you interactively explore the properties of your data, its clusters, and outliers. We demonstrate their potential and how to apply and interpret their often unintuitive results through real-world examples.
The materials from the talk can be downloaded from:
https://github.com/mihalis/HDVisualizations