
Be the first to like this
Published on
http://www.datameer.com Does your customer’s browser choice relate to the amount of money they spend in your online store? Or are people that come to your site through Pinterest more likely to download your trial than those who come from Facebook? In this class, you will learn how to compute those correlations with a pairwise dependency value across all columns of your data, applying Map/Reduce, on a data stream. Based on mutual information, this measure is derived from twodimensional histograms, no matter whether the columns are numerical or categorical. The final result is a heat map matrix that compares all columns with each other, visualizing their pairwise dependency values. Learn more at www.datameer.com
Be the first to comment