Bayesian Optimization for Hyperparameter Tuning with Scott Clark

Banner Image: Scott Clark - Podcast Interview
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About this Episode

As you all know, a few weeks ago, I spent some time in SF at the Artificial Intelligence Conference. While there, I had just enough time to sneak away and catch up with Scott Clark, Co-Founder and CEO of Sigopt, a company whose software is focused on automatically tuning your model's parameters through Bayesian optimization.

We dive pretty deeply into that process through the course of this discussion, while hitting on topics like Exploration vs Exploitation, Bayesian Regression, Heterogeneous Configuration Models and Covariance Kernels. I had a great time and learned a ton, but be forewarned, this is most definitely a Nerd Alert show!

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