This is a group for hacking Big Data with Math, Machine Learning, Statistics. We will learn how to ask good questions about data and derive actionable insights. Group will focus on recent advances in math algorithms on unbalanced real world datasets. We will look at a rich tool chain for datascience including and not limited to R, Python, H2O. Focus will be on practice of data science along with nuances of popular algorithms on public datasets. Most all sessions will have a demo or a hands-on component. Come join us to discover insights from data.