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Steve Hillion

V.P. Product, Alpine Data Labs

Steven Hillion has been leading large engineering and analytics projects for fifteen years. Before joining Alpine Data Labs, he founded the data science team at Greenplum and also led various open-source projects in analytics and machine learning. Before that, at Kana and M-Factor, he built analytics applications and innovated in the area of econometric modeling. At Scopus Technology (later Siebel Systems) he co-founded development groups for finance, telecom and other verticals. He has a background in pure mathematics, earning a Ph.D. in analytic number theory from the University of California at Berkeley.


Large-Scale Lasso and Elastic-Net Regularized Generalized Linear Models

Nonlinear methods are widely used to produce higher performance compared with linear methods; however, nonlinear methods are generally more expensive in model size, training time, and scoring phase. With proper feature engineering techniques like polynomial…