VP of Engineering at DataRobot
Peter Prettenhofer is VP of Engineering at DataRobot. He studied computer science at Graz University of Technology, Austria and Bauhaus University Weimar, Germany, focusing on machine learning and natural language processing. He is a contributor to scikit-learn where he co-authored a number of modules such as Gradient Boosted Regression Trees, Stochastic Gradient Descent, and Decision Trees.
Posts by Peter Prettenhofer
Learn more about some of the latest enhancements and integrations between Datarobot AI Platform and Snowflake's Data Cloud at Snowflake Summit 2022 (June 13-16).
This blog post is the first of a series that follows along with the “StatLearning” MOOC by Trevor Hastie and Rob Tibshirani in Winter 2014. We’ll show how to use many of the techniques they cover using Python instead of R. Statistical Learning Ever since I was exposed to data science and statistical machine learning, one book has always claimed…