Steven Tartakovsky

Recruited out of college by Deloitte Consulting, Steven worked on and managed technology projects across a variety of industries. Transferring back to academia, he pursued graduate mathematics research at Cal Poly and briefly was a PhD student in Applied Math at University of Southern California. Since then, Steven has worked as a data scientist and software engineer for consumer and enterprise technology companies. Steven holds a bachelor’s and master’s in mathematics from Cal Poly, San Luis Obispo.

Posts by Steven Tartakovsky

AI / Deep Learning

Deep Learning Hyperparameter Optimization with Competing Objectives

How to use SigOpt’s Bayesian optimization platform to jointly optimize competing objectives for hyperparameter in deep learning pipelines on NVIDIA GPUs. 15 MIN READ