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David Sweet, author of “Tuning Up: From A/B testing to Bayesian optimization”, introduces Dan and Chris to system tuning, and takes them from A/B testing to response surface methodology, contextual bandit, and finally bayesian optimization. Along the way, we get fascinating insights into recommender systems and high-frequency trading!
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By Practical AI LLC4.4
185185 ratings
David Sweet, author of “Tuning Up: From A/B testing to Bayesian optimization”, introduces Dan and Chris to system tuning, and takes them from A/B testing to response surface methodology, contextual bandit, and finally bayesian optimization. Along the way, we get fascinating insights into recommender systems and high-frequency trading!
Join the discussion
Changelog++ members get a bonus 1 minute at the end of this episode and zero ads. Join today!
Sponsors:
Featuring:
Show Notes:
Books
Something missing or broken? PRs welcome!

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