DB Tsai, Senior Research Engineer at Netflix

DB Tsai

Senior Research Engineer, Netflix

DB Tsai is an Apache Spark committer and a Senior Research Engineer working on Personalized Recommendation Algorithms at Netflix. He implemented several algorithms including Linear Regression and Binary/Multinomial Logistic Regression with Elastici-Net (L1/L2) regularization using LBFGS/OWL-QN optimizers in Apache Spark. Prior to joining Netflix, DB was a Lead Machine Learning Engineer at Alpine Data Labs, where he led a team to develop innovative large-scale distributed learning algorithms, and then contributed back to open source Apache Spark project. DB was a Ph.D. candidate in Applied Physics at Stanford University. He holds a Master’s degree in Electrical Engineering from Stanford University.


Distributed Time Travel for Feature Generation

Learning is an analytic process of exploring the past in order to predict the future. Hence, being able to travel back in time to create feature is critical for machine learning projects to be successful.… Read more