Bayesian Optimization for Hyperparameter Tuning with Scott Clark - TWiML Talk #50

2017-10-02 · 47 min · episode 50 · 16 entities

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Asserted relationships

→ appeared on The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence podcast

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evidence rules-v4
Bayesian Optimization for Hyperparameter Tuning with Scott Clark - TWiML Talk #50
→ hosted by Sam Charrington person

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Feed author/publisher: Sam Charrington
→ works at SigOpt company

0.50

evidence rules-v4
CEO of Sigopt
→ works at SigOpt company

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evidence rules-v4
CEO of Sigopt
→ discusses Science concept

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evidence rules-v4
Feed category: Science
→ discusses Technology company

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evidence rules-v4
Feed category: Technology
→ discusses News concept

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evidence rules-v4
Feed category: News
→ discusses Tech News concept

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evidence rules-v4
Feed category: Tech News
→ hosted by TWIML company

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evidence rules-v4
Feed author/publisher: TWIML

Entities found in this episode

companys 7

mentioned TWIML company

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Feed author/publisher: TWIML
mentioned SigOpt company

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evidence rules-v4
CEO of Sigopt
mentioned Technology company

0.50

evidence rules-v4
Feed category: Technology
works at SigOpt company

0.50

evidence rules-v4
CEO of Sigopt
works at SigOpt company

0.50

evidence rules-v4
CEO of Sigopt
discusses Technology company

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evidence rules-v4
Feed category: Technology
hosted by TWIML company

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evidence rules-v4
Feed author/publisher: TWIML

concepts 5

mentioned Science concept

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evidence rules-v4
Feed category: Science
mentioned Tech News concept

0.50

evidence rules-v4
Feed category: Tech News
discusses Science concept

0.40

evidence rules-v4
Feed category: Science
discusses News concept

0.40

evidence rules-v4
Feed category: News
discusses Tech News concept

0.40

evidence rules-v4
Feed category: Tech News

persons 3

mentioned Scott Clark person

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evidence rules-v4
Bayesian Optimization for Hyperparameter Tuning with Scott Clark - TWiML Talk #50
mentioned Sam Charrington person

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evidence rules-v4
Feed author/publisher: Sam Charrington
hosted by Sam Charrington person

0.55

evidence rules-v4
Feed author/publisher: Sam Charrington

podcasts 1

appeared on The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence podcast

0.68

evidence rules-v4
Bayesian Optimization for Hyperparameter Tuning with Scott Clark - TWiML Talk #50

Episode description as stored

As you all know, a few weeks ago, I spent some time in SF at the Artificial Intelligence Conference. While I was 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! Notes for this show can be found at twimlai.com/talk/50