DiscoverChangelog Master FeedRecommender systems and high-frequency trading (Practical AI #126)
Recommender systems and high-frequency trading (Practical AI #126)

Recommender systems and high-frequency trading (Practical AI #126)

Update: 2021-03-23
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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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Recommender systems and high-frequency trading (Practical AI #126)

Recommender systems and high-frequency trading (Practical AI #126)

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