Michael McCourt

Mike studies mathematical and statistical tools for interpolation and prediction. Prior to joining SigOpt, he spent time in the math and computer science division at Argonne National Laboratory and was a visiting assistant professor at the University of Colorado-Denver where he co-wrote a text on kernel-based approximation. Mike holds a PhD and MS in Applied Mathematics from Cornell and a BS in Applied Mathematics from Illinois Institute of Technology.

Posts by Michael McCourt

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