Introducing FastProp: the fastest approach to propositionalization
FastProp is our unique take on propositionalization. In real-world benchmarks against popular propositionalization libraries, we find FastProp is between 34x to 179x faster than the current state of the art.
Deep Learning on Relational Business Data
The year is 2020. The world is entirely dominated by Deep Learning applications. Well, not entirely... This post highlights the blank spot on the map.
GetML gains 4% accuracy in customer churn prediction within 15 minutes of training
GetML empowers a multinational car manufacturer to improve on customer retention strategies by providing accurate churn predictions.
Introduction to Relational Data in Python, R and SQL
Automated feature engineering for relational business data? Sound great, but you don't really know what relational data is? This post is for you!
Consumer expenditure categorization using FastProp and Relboost
Predict item purchases that will be gifts. This analysis is based on a public domain data set provided by the American Bureau of Labor Statistics.
The relational nature of multivariate time series and external regressors
Automate Machine Learning on time series with getML
Why getML is is the most efficient feature engineering solution
Automated Feature Engineering For Relational Data and Time Series