Bayesian Optimization for Hyperparameter Tuning with Scott Clark

800 800 The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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!

Join Sam in Montreal!

RE•WORK Deep Learning Summit Ticket Giveaway

TWIML Online Meetup

The details for the upcoming TWIML Online Meetup have been set!! On Oct 18 at 3pm PT, We will discuss the paper Visual Attribute Transfer through Deep Image Analogy, by Jing Liao and others from Microsoft Research. The discussion will be led by Duncan Stothers. (Thanks Duncan!) For anyone who’s has missed the last two meetups, or for those that haven’t yet joined the group, please visit There you’ll find Video Recaps of the last 2 meetups, along with a link to the paper we’ll be reviewing next month. If you’d like to present your favorite paper, we’d love to have you do it. Just shoot us an email at to get the ball rolling.

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About Scott

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