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AI expert discusses recommender systems and high-frequency trading

David Sweet, author of "Tuning Up: From A/B testing to Bayesian optimization," discussed system tuning techniques with hosts Dan and Chris. The conversation covered a range of methods, starting from A/B testing and progressing through response surface methodology, contextual bandits, and ultimately Bayesian optimization. Sweet shared insights into the application of these techniques in areas such as recommender systems and high-frequency trading. AI

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AI expert discusses recommender systems and high-frequency trading

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  1. Practical AI TIER_1 · Practical AI LLC ·

    Recommender systems and high-frequency trading

    <p>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 in…