Matt Motoki, Ph.D. student at University of Washington

Matt Motoki

Blog

Seasonal Uniform Average
Seasonal Uniform Average
Handling streaming data with seasonal or cyclic patterns is a common task in data science and machine learning. In this blog post, we discuss a simple implementation of a seasonal uniform average that serves as a solid baseline for forecasting...
Beta Target Encoding
Beta Target Encoding
Bayesian Target Encoding is a feature engineering method that leverages Bayesian principles to convert categorical variables into numeric representations. Beta Target Encoding is a specialized variant designed specifically for binary classification tasks. Beta Target Encoding provides a systematic way to...

Competitions

In my free time, I enjoy doing machine learning competitions. I am a competitions grandmaster on Kaggle.