Recommender systems and high-frequency trading (Practical AI #126)
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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- David Sweet – Twitter, LinkedIn
- Chris Benson – Twitter, GitHub, LinkedIn, Website
- Daniel Whitenack – Twitter, GitHub, Website
Notes and Links
- Tuning Up: From A/B testing to Bayesian optimization
- Tuning Up | GitHub
- Manning 40% discount code: podpracticalAI19