Practical AI

Recommender systems and high-frequency trading


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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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Featuring:

  • David Sweet – LinkedIn, X
  • Chris Benson – Website, GitHub, LinkedIn, X
  • Daniel Whitenack – Website, GitHub, X

Show Notes:

Books

  • “Experimentation for Engineers” by David Sweet
    • Tuning Up | GitHub
    • Manning 40% discount code: podpracticalAI19

Something missing or broken? PRs welcome!

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Practical AIBy Practical AI LLC

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