Speaker

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DB Tsai

Senior Research Engineer, Netflix and Alpine Data Labs

DB Tsai is an Apache Spark committer and a Senior Research Engineer at Netflix. He is recently working with Apache Spark community to add several new algorithms including Linear Regression and Binary Logistic Regression with ElasticNet (L1/L2) regularization, Multinomial Logistic Regression, and LBFGS optimizer. Prior to joining Netflix, DB was a Lead Machine Learning Engineer at Alpine Data Labs, where he developed innovative large-scale distributed linear algorithms, and then contributed back to open source Apache Spark project.

Sessions

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…